Welcome to International Society for Studies of Information IS4SI
(http://is4si.org)
In August 2010, the Fourth International Conference on the Foundations of Information Science (FIS) took place in Beijing. It was organized by the Social Information Science Institute (SISI) at the Huazhong University of Science and Technology (HUST) in Wuhan, and sponsored by the Technical Committee on Artificial Intelligence Theory (TCAIT) of the Chinese Association for Artificial Intelligence (CAAI). It was the first-ever scientific conference held under the motto “Towards a New Science of Information”.
At the conference a committee was established to prepare the founding of an International Society for Information Studies that shall advance global and collaborative studies in the sciences of information, information technology and information society as a field in its own right, elaborate common conceptual frameworks and implement them in practice so as to contribute to mastering the challenges of the information age, and hold conferences in the field every two years.
On June 24th, 2011, the International Society for Information Studies (ISIS) was registered in Vienna as association by Austrian law.
Previously, the International Society for Study of Information had held biennial international information study summits in Russia-Moscow, Austria-Vienna, Sweden-Gothenburg, USA-Berkeley, and Japan-Kyoto. In 2023, the summit of the International Society for Study of Information will be hosted by the Chinese branch, with Zhong Yixin as the chairman of the summit.
国际信息研究学会（IS4SI）
2010年8月,在中国和欧洲等国信息科学研究者的共同努力下，经过充分协商，决定由中国、奥地利、西班牙三国的学术负责人组成国际信息学会的筹备组。筹备组会议决定，把拟议中的国际学术组织定名为“国际信息研究学会（International Society for The Study of Information，IS4SI is4si.org）”。IS4SI是国际性的民间学术团体，注册在奥地利首都维也纳。
此前，国际信息研究学会曾在俄罗斯的莫斯科、奥地利的维也纳、瑞典的哥登堡、美国的伯克利、日本的京都举办过两年一度的国际信息研究峰会。2023年，国际信息研究学会峰会将由中国分会承办，钟义信担任峰会主席。
2023国际信息峰会征文通知
Call for Papers
2023 International Summit on the Study of Information
August 14 -18, 2023, Beijing
Web for Submission: https://easychair.org/conferences/?conf=issi2023
You also can submit papers through Forum Submission Email Address as follows:
Information Philosophy: zhensong@xjtu.edu.cn
Information Science： shizz@ict.ac.cn
Information Technology (1): lingan@tsinghua.edu.cn
Information Technology (2): is4siccai@163.com
Information Economy: IS4siccie@163.com
Information Society：470284367@qq.com
Keynotes Speaker
Title: Paradigm Change in AI as well as in Information Discipline
Speaker: Yixin Zhong, University of Posts & Telecommunications, Beijing 100876, China, zyx@bupt.edu.cn
Abstract: The term “paradigm for a scientific discipline” is re-defined here in the paper as the scientific worldview and the associated methodology for the scientific discipline, which is thus the uniquely supreme force for leading and regulating the study of the scientific discipline. As results, the study of a scientific discipline should follow the paradigm for its own.
On the other hand, however, the formation of the paradigm for a scientific discipline is extremely difficult and can be settled only after a very long time tries, tests, and debates like the “blinders and elephant” story among various academic groups. The time delay between the incept of the academic studies for a scientific discipline to the settlement of the paradigm for the scientific discipline may somehow be in the order of one century. This is called “the time needed for paradigm establishment” (TPE in brief).
Consequently, any newly emergent scientific discipline within the TPE will have no paradigm for its own. Nevertheless, the paradigm cannot be absent for any scientific discipline and any time. The newly emergent scientific discipline within the TPE has thus to borrow a paradigm from other scientific discipline. Paradigm borrowing leads to a phenomenon of “paradigm dis-matching”, again leading to its low- quality development stage.
Experiencing more than four centuries development, there have been two categories of scientific disciplines existed in natural science and technology (S&T for short), one is physical discipline, which is a traditional discipline consisting of material S&T and energy S&T and has already established its own paradigm, another is information discipline which is a newly emergent discipline consisting of information S&T and intelligence S&T and has not yet completed the establishment of its own paradigm,.
Artificial intelligence (AI for short) is the-most-advanced member of information discipline and should thus follow the paradigm for information discipline. Due to the TPE effect, the paradigm practically executed in AI so far has not been the one for its own, but is the one borrowed from physical discipline. The paradigm borrowing has caused serious problems to the study of AI, leading it being confined to the lower stages of its development, as mentioned above.The fatal problems in AI include (1) unable to establish the unified theory for AI, and (2) unable to produce the intelligence understandable.
Therefore, Paradigm change, replacing the borrowed paradigm with the one for information discipline, is the necessary and right solution to make the study of AI walk out from the lower stage and enter into the advanced stage of its development so as to meet the urgent needs of social development.
The paper presents the problems in current AI research and reports the epoch-making progress achieved due to the paradigm change in AI, which is the mechanism-based General Theory for AI (m-GTAI for short). It is obvious that paradigm change should also be meaningful for the entirety of information discipline.
Biography: Yixin Zhong, professor at AI School, Beijing University of Posts and Telecommunications (BUPT for short), Beijing 100876, China.
He received his Bachelor degree (1962) and Master degree (1965) both from the Dept. of Engineering of Communications, BUPT. From 1979 to 1981, he was an academic visitor to the Dept of Electrical Engineering, Imperial College for Science and Technology, London.
In the rest of the time from 1965 to the present he has been a Lecturer, Associate Professor and Full Professor, Dean of the Dept. of Information Engineering, and Vice President of BUPT.
The major interests for his teaching and research include Communication Theory, Shannon Theory, Information Science, Artificial Neural Network, Artificial Intelligence. He has published over 520 papers in above areas (most in Chinese) and 16 manuscripts, such as Pseudo-Coded Communication Theory (1979), On Generalized Information Theory (1984), Intelligence Theory and Technology (1992), Principles of Information Science (1988, 1996, 2002, 2005, 2013), Introduction to Information Science and Technology (2007, 2010, 2015), Principles of Artificial Intelligence (2007), Principle of Advanced AI (2014), Theory of Artificial Intelligence based on the Mechanism of Intelligence Creation (2021), General Theory of Intelligence (2023), and etc.
He has served as Associate Editor for IEEE Trans on Neural Network (1993-2005), President of Asia-Pacific Neural Network Assembly (2001-2002), Chair of the SIG for Communication Theory of China Institute of Communication (1990-1995), President of China Association for Artificial Intelligence (2001-2010), Vice President of World Federation of Engineering Organizations (WFEO) (2007-2010), Chairman of WFEO Standing Committee of Information and Communication (2007-2010), Chief Editor for the book series on Intelligence Science and Technology (2013-2018), Chair of China Chapter under the International Society for the Study of Information (2016 - ), President of AI Institute for Jinan University (2017 - ), President of International Society for the Study of Information (2021-2023).
1. The International Summit for The Study of Information
Information is a fundamental natural resource, essential for humans and all living beings. Since raw information can be processed into new complex products, like knowledge, strategy, intelligence, etc., the significance of information is therefore even higher for human society. The study of information processes is thus a key issue for the information era.
The International Summit for The Study of Information (IS4SI) is a biannual series of international congresses, dedicated to bringing experts worldwide together to exchange ideas, share progress, explore future trends in the Information Discipline, as well as facilitating collaborations between participants to meet new challenges. Each of the previous Summits attracted a large number of enthusiastic participants of all ages and achieved substantial success.
2. The Sponsor, Supporter and Organizer of ISSI’2023
The Summit is sponsored by the International Society for the Study of Information (IS4SI) and cooperated by the editorial offices of MDPI Journals of Information, Entropy, Mathematics and Philosophy, and also by Asia-pacific Artificial Intelligence Association (AAIA), which very well represents scientists, professors, engineers, technologists, managers, experts and students from all over the world in the fields related to the study of information.
The 2023 International Summit on the Study of Information (ISSI’2023) is organized by IS4SI’s Chapter in Beijing, China and will be held from Monday, August 14 through Friday, August 18 , 2023 in Beijing. The Summit will consist of a series of academic fora, technical exhibits, and the organization of cooperative projects on-line, and/or off-line if allowed.
3. Call for Contributions
All researchers involved or interested in the study of information are welcome to submit their abstracts of papers of not less than 2000 words to the Summit. The abstracts will be peer reviewed by the Program Committees of the Summit and the most important abstracts will be selected for oral presentation.
These abstracts will be published in the Proceedings of the Summit. The best presentations will be selected for publication as the Chapters in a book in a series published by World Scientific Press, or recommended to the Journals of Information, Entropy, Mathematics, and Philosophy as well as others.
4. Theme of the ISSI’2023 Summit: Paradigm Change in AI
“Paradigm Change in AI” has been selected as the Theme of the ISSI’2023 Summit by the sponsor and organizer because there have been many different demands to clarify the scientific worldview and methodology, which are together termed “paradigm”, in the study of AI and information discipline and the physical discipline. A lecture explaining the Theme will be scheduled at the opening session of the Summit.
All participants are warmly welcome to join the discussions on this topic, and make contributions to, the conference theme in their papers.
5. The Scope of the Summit
The scope of information science and technology and their applications is very broad. The scope of the 2023 Summit corresponding to it is thus designed and outlined in detail as follows:
5.1. Forum on Information Philosophy
(1) The concept, significance, and value of the informational turn in Contemporary Philosophy
(2) The connection and difference between the informational turn of contemporary philosophy and other recent philosophical turns
(3) The basic content and levels of the new Information Paradigm (NIP)
(4) A comparative study of the NIP and a material paradigm
(5) A comparative study on the relationship between information, knowledge, data, numbers, and intelligence
(6) The unity of the NIP in the development of contemporary philosophy and science
(7) A comparative study of the various fields of research paths in information philosophy around the world
(8) Basic concepts and methods of theoretical research on complex information systems
(9)Philosophical and technical foundations of information science and technology (virtual reality, human enhancement technology, nanotechnology, artificial intelligence, quantum information technology, 3D printing, meta-universe)
(10) Research on philosophical issues in Information Science, information
technology, information economy, information, and the intelligent society
(11) New interpretations of Information Thinking in culture and art
5.2 Forum on Information Science
(1) Foundations of Information Science
(2) Theoretical Information Study
(3) Intelligence Science
(4) Mind Computation
(5) Mechanism of Intelligence Creation
(6) Embodied Intelligence
(7) Brain Cognition
(8) Mathematics for Intelligence
(9) Logic and Information
(10) Neural Science
(11) Artificial General Intelligence
(12) Noetic Science and Cognitive Science
5.3 Forum on Information Technology (1)
(1) 5G and 6G Technology
(2) AI-based Intelligent Networking Systems
(3) High Performance Computing
(4) Numerical Methods for Scientific Computing
(5) Re-configurable Computing
(6) Quantum Computing
(7) Intelligent Computing
(8) Internet of Things or Internet of Processes
(9) Semantic Web and Web 3
(10) Big Data, Security, Privacy, and Block Chain
5.3 Forum on Information Technology (2)
(1) IT for the Human Body
(2) Affective Computing
(3) Deep Learning and Reinforcement Learning
(4) Pattern Recognition and Knowledge Graphs
(5) Natural Language Processing and Understanding
(6) Intelligent Robots and their Applications
(7) Brain-Computer Interface
(8) Autonomous Driving
(9) Virtual Reality and Augmented Reality
(10) The Meta-Verse and Future Computing
5.4 Forum on the Information Economy
(1) Information Economy Theory (Including objective, content, nature, method, function, history, and other basic problems of the information economy)
(2) Information Management (Including Accounting and Financial Information Systems, IT management, Knowledge Management, Commercial Management etc.)
(3) Digital Industrialization (Including 5G, Integrated circuit, Software, Artificial intelligence, Big Data, Cloud computing, Block chain, etc.)
(4) Industry digitization (Including Industrial internet, Intelligent manufacturing, Vehicle networking, Platform economy, etc.)
(5) Data value (including Data collection, Data standards, Data pricing, Data transactions, Data protection, etc.)
(6) Digital governance(including Digital Government, Smart Cities, etc.)
(7) The Interrelationship between the Digital Economy, Information Economy, and Knowledge Economy
5.5 Forum on the Information Society
(1) The Information Society
(2) Intelligent Social Governance
(3) Education in the Information Society
(4) Medicine in the Information Society
(5) Human Nature in the Information Society
(6) Human-Robot Relationships
(7) Digital Culture
(8) Digital Sports
To be added and Revised
IMPORTANT DATES.
Abstract submission: by April 30, 2023
Notification of abstract acceptance: by May 15, 2023
Extended abstract submission: by June 15, 2023
Author registration: by July 15, 2023
Summit: August 14 – 18, 2023
TENTATIVE TIME-TABLE FOR 2023 IS4SI SUMMIT
Morning Sessions | Afternoon Sessions | |
Monday | Theme Lecture: Paradigm Change in AI | Invited Speeches on “Paradigm Change” |
Tuesday | Information Philosophy | Information Science |
Wednesday | Information Technology (1) | Information Technology (2) |
Thursday | Information Economy | Information Society |
Friday | General Assembly, IASI Inauguration | Arts Show, Closing Session |
Note: each session may have one, or more, parallel sub-sessions depending on the number of presentations confirmed.
ORGANIZING COMMITTEES
1. International Advisory Committee
Chairs:
Terrence Deacon (USA)
Fuji Ren (China)
Members (In the order of Surname)
Joseph Brenner (Switzerland)
Mark Burgin (USA)
Zhicheng Chen (China)
Yagmur Denizhan (Turkey)
Jose Maria Diaz Nafria (Spain)
Gordana Dodig-Crnkovic (Sweden)
Luciano Floridi (UK)
Ben Goertzel (USA)
Jifa Gu (China)
Teresa Guarda (Portgal)
Huacan He (China)
Wolfgang Hofkirchner (Austria)
George Hinton (Canada)
Shigeo Kawashima (Japan)
Pedro Marijuan (Spain)
Krassimir Markov (Bulgaria)
Jorge Navarro Lopez (Spain)
Kang Ouyang (China)
Marcin Schroeder (Japan)
Peizhuang Wang (China)
Pei Wang (USA)
Kun Wu (China)
Jiyi Yan (China)
Xuesan Yan (China)
To be added
2. Summit General Chairs
Yixin Zhong (China)
Pedro Marijuan (Spain)
Summit General Co-Chairs
Liqun Han (China)
Mark Burgin (USA)
3. Summit PC Chairs
Zhongzhi Shi (China)
Wolfgang Hofkirchner (Austria)
Summit PC Co-Chairs
Yong Shi (China)
Gustavo Saldanha (Brazil)
4. Forum PC Chairs
Forum on Information Philosophy
Wu Kun (China),
Joseph Brenner (Switzerland)
Forum on Information Science
Zhongzhi Shi (China)
Mark Burgin (USA)
Forum on Information Technology (1)
Guangwen Yang (China)
Krassimir Markov (Bulgaria)
Forum on Information Technology (2)
Zhicheng Chen (China)
Gordana Dodig-Crnkovic (Sweden)
Forum on the Information Economy
Xiaoyu Wan (China)
Jorge Maria Diaz Nafria (Spain)
Forum on the Information Society
Kang Ouyang (China)
Wolfgang Hofkirchner (Austria)
Changkai Sun (China)
Jorge Navarro Lopez (Spain)
Jinwen Ma (China)
5. Members of the Program Committee (ordered by Surnames)
Syed Mustafa Ali
Jean-Yves Beziau
Mark Burgin
Cungen Cao
Mihir Chakraborty
Meilin Chen
Yu Chen
Yuehui Chen
Zhicheng Chen
Tiejun Cui
Gordana Dodig-Crnkovic
Yagmur Denizhan
Biao Du
Guoping Du
Xiaoya Fan
Jiali Feng
Hongwei Ge
Ben Goertzel
Teresa Guarda
Sizong Guo
Wolfgang Hofkirchner
Hailong Ji
Yi Jin
Shigeo Kawashima
David Kelly
Kai Liu
Rong Liu
Minxia Luo
Jinsong Ma
Jinwen Ma
Lixin Ma
Yan Ma
Yuncang Ma
Di Na
Kang Ouyang
Ruoliangren Pang
Xinmin Sang
Marcin Schroeder
Liang Song
Shiji Song
Changkai Sun
Jian Sun
Shu Tang
Lorna Uden
Benzhong Wang
Pei Wang
Tianen Wang,
Xiaofeng Wang
Zhensong Wang
Lei Wang
Guolin Wu
Feng Xiao
Baogui Xu
Jiyi Yan
Peifang Yang
Shengbing Zhang
Xiaohong Zhang
Chuan Zhao
Liqian Zhou
Yanquan Zhou
Nan Zhu
To be added …..
6. Coordination Office
Chairs:
Zhicheng Chen
Annette Grathoff
Members:
Joseph Brenner
Huacan He
Jose Navarro Lopez
Peizhuang Wang
Zhensong Wang
7. Information Industry and Local Committees
Chairs:
Jianxin Lu
Ting Xu
Guibao Xu
Members:
Jinsong Ma
Meilin Chen
To Be Added
8. Publicity Committee:
Chairs:
Shiguang Zhang
Dingtao Wang
Lihong Wang
Members
Biao Du
Lu Zhang
Yan Shi
Shu Tang
9. Publication Committee
Chairs:
Mark Burgin
Zhongzhi Shi
Members:
All fora chairs
To Be Added …
10. The Forum of the Summit
The scope of information science and technology and their potential applications is extraordinarily broad. The scope of the 2023 Summit corresponding to it is thus designed and outlined as follows:
10.1. Forum on Information Philosophy
The 6th International Conference on Philosophy of Information (ICPI)
Dear Friends and Colleagues
According to the plan of the IS4SI, the 5th International Summit for the Study of Information will be held during August 14-18th, 2023, in Beijing. The 6th International Conference on Philosophy of Information (ICPI) will be included as one of the sub-sessions. The following are the details of the Call-for-papers of the 6th ICPI.
The first five ICPIs were successively held in Xi'an(China), Vienna(Austria), Gothenburg(Sweden), Berkeley (U.S.A.) and Akita ( Japan online) in October 2013, June 2015, June 2017, June 2019 and August 2021 respectively. These five sessions attracted the participation of many scientists and philosophers and achieved fruitful results.
After the 5th ICPI, there have been new developments in research in the philosophy of information around the world. Based on these new developments, we have proposed the indicated theme for the 6th ICPI and suggested a number of research directions. These are indicated below to assist participants in preparing their papers.
A. Affiliations of Organizers
Kun Wu（Xi’an Jiaotong University, Xi’an, China）
Joseph Brenner (Institute for a Global Sustainable Information Society, Vienna, Austria)
Tian’en Wang (Shanghai University, Shanghai, China)
Feng Xiao (South China University of Technology, Guangzhou, China)
Zhensong Wang (Xi’an Jiaotong University, Xi’an, China)
Jian Wan (Xi’an Jiaotong University, Xi’an, China)
Tianqi Wu (Xi’an Jiaotong University, Xi’an, China)
Liang Wang (Xi’an Jiaotong University, Xi’an, China)
B. The Conference Theme and Its Explanation
Following the theme of 5th IS4SI Summit “Paradigm Change in the Information Discipline”, the theme of 6th ICPI is “The Significance of the Information Turn in Contemporary Philosophy and the Coordinated Relationship between the Information Turn and the Transformation of Human Civilization.”
The reason for us to choose this theme is that the discovery of the information world and the rise of information thinking are the primary topics for the development of contemporary science and philosophy, affecting the fundamental transformation of science and philosophy, the economy and society. Twentieth Century philosophy was dominated by a linguistic turn, in both its analytical and phenomenological traditions. Priest and others have suggested that it was being replaced by an ontological turn as a counter to descriptions of reality based on analytical, semantic criteria of truth, away from language and including something of the contradictory nature of reality. More recently, in line with Hofkirchner, we see a new informational turn accompanying the current development of the information society.
C. Suggested Research Directions
(1) The concept, significance, and value of the informational turn in Contemporary Philosophy
(2) The connection and difference between the informational turn in contemporary philosophy and other historical turns in philosophy
(3) The basic content and levels of the Information Paradigm
(4) A comparative study between the Information Paradigm and Material Paradigms
(5) A study on the relationships between information, knowledge, data and intelligence
(6) The unified relationship of development between philosophy and science under the Information Paradigm
(7) The comparative study of various approaches in the field of information philosophy
(8) Basic ideas and methods of theoretical research on the theories of complex information systems
(9) Philosophical foundations of information science and technology (virtual reality, human enhancement technology, nanotechnology, artificial intelligence, quantum information technology, 3D printing, meta-universe)
(10) Research on philosophical issues in information science, information
technology, information economy, information and the intelligence society
(11) New interpretations of information thinking in human culture and art
(The above topics are only for reference. Participants may submit papers consistent with the conference theme, based on their own studies. )
D. Contributions and Participation
The designated language for the conference is English. Please submit a long abstract, at least 2 pages, to one of our conference contacts(their email addresses are listed in the following) before April 30, 2023.
The abstracts will be peer reviewed by the Program Committees of the Summit and preferred abstracts will be selected for oral presentation.
These abstracts will be published in the Proceedings of the Summit. The best presentations will be selected for publication as the Chapters in a book in a series published by World Scientific, or as articles published by well-known Journals.
E. Conference Contacts:
Kun Wu，cell phone：+86 13399284026；Email：wukun@mail.xjtu.edu.cn
Joseph Brenner，cell phone : +4179 425 73 45 ; Email：joe.brenner@bluewin.ch
Zhensong Wang，cell phone：+86 18966903388；Email：zhensong@xjtu.edu.cn
Kaiyan Da，cell phone：+86 18966903388； Email：dky850731@stu.xjtu.edu.cn
Yuanyuan Tian, cell phone：+86 18609287307；Email：505158574@qq.com
Ziyao Li, cell phone：+86 18292886988；Email：xiaoluobo298@gmail.com
Haisha Zhang, cell phone：+86 17809163548；Email：zhanghaisha@stu.xjtu.edu.cn
International Society for the Study of Information (IS4SI)
International Society for the Study of Information—China Chapter (IS4SI-CC)
International Center for Philosophy of Information, Xi’an Jiaotong University (XJTU-ICPI)
Research Base for Philosophy of Information and Intelligent Society Basic Theories (XJTU-RB4PI&ISBT)
F. Invited Speakers
1. Wolfgang Hofkirchner
Title: Techno-social systems – a value-based model for digitalisation
Abstract：In the age of global challenges, digitalisation in any social system must be shaped for the common good and not for particular economic interests. In order to do so, it is incumbent upon studies of information to explicate the possibility of such a design. How can the interplay of social and technological factors be modelled to allow for Digital Humanism?
The author proposes the model of so-called “techno-social systems”. By terming them so, they shall be differentiated from usually being called – in reverse order – “socio-technical systems”. It shall make clear that a techno-social system is a specification of a social system and not the other way around. The shaping of such a system can then be understood by a cycle of ideal values, value dispositions and value qualities. It is this cycle that can be influenced by social actors. It can materialise Digital Humanism through compliance with imperatives concerning the technological support for worldwide governance, worldwide dialogue and worldwide netizenship.
Biography: Wolfgang Hofkirchner is retired professor of Technology Assessment at the TU Wien (Vienna University of Technology). He is co-director of the independent Institute for a Global Sustainable Information Society (gsis.at). He is one of the founding presidents of IS4SI. He has more than 250 publications in the fields of complex thinking, the study of information and ICTs and Society. His latest publication is: The Logic of the Third – A Paradigm Shift to a Shared Future for Humanity (World Scientific, 2023).
2. Joseph E. Brenner
Title: On Middles and Thirds
Abstract: The Third Axiom of Aristotle has served logic, science and common sense for over two millennia: there is no term C that is at the same time A and B, its contraries or opposites. The advent of quantum mechanics changed the picture, giving scientific weight to the concept of intermediate or included states, physically or conceptually “between” two others, partially or completely. Wave-particle duality is now an accepted principle in physics, and echoes of the principle can be found in, above all, Asian cosmogonies. Notwithstanding, the default logics in both Eastern and Western standard thought has been bivalent or binary, propositional logics of their mathematical equivalents. So-called fuzzy logics, like most others still are dependent on fulfilling binary criteria of truth and falsity. These logics underlie and are essentially equivalent to standard set and category theory: 1) sets and members of sets are independent of one another and 2) categories are defined as instantiating the properties of exclusivity and exhaustivity.
The purpose of this paper is to revisit the concepts of a third in logic and philosophy that have existed since antiquity, widely separated in time and space, but expressing what I consider a higher level of understanding, without going outside the boundaries of science.
Biography: A U. S. citizen born in Paris, Joseph E. Brenner studied organic chemistry and got a doctoral degree in the U.S. and Switzerland, followed by a career in the chemical industry. After retirement, he joined the International Center for Transdisciplinary Research (CIRET, Paris), working with its Director, the theoretical physicist Basarab Nicolescu, who introduced him to the non-standard logic of Stéphane Lupasco. Brenner then published a book, Logic in Reality, and a series of papers to up-date and make this logic available in English. Later, through contacts especially with Pedro Marijuan and Wolfgang Hofkirchner, he began to concentrate on the application of the Lupasco logic to the science and then the philosophy of information. In 2010 he started a fruitful collaboration with Wu Kun, Director of the International Center for the Philosophy of Information at the Xi’An Jiaotong University, Xi’An, China, of which he was appointed Associate Director. Recent work has emphasized Wu’s concepts of the convergence of science and philosophy, under the influence of information. Brenner has also been involved, since its formation in 2011, with the International Society for the Study of Information (IS4SI), serving as Vice-President, Transdisciplinary Projects. Also he was elected Member of the UTI Research Group after fruitful co-operation. Brenner’s current interests are in the reconceptualization of natural philosophy and the further application of his logic and philosophy (“Philosophy in Reality”) in the support of the Global Sustainable Information Society. Publications on these topics have appeared recently primarily in the Journals Information and Philosophies.
3. Marcin J. Schroeder
Title: Methodology of Information Study
Abstract: The fact that information has many different definitions and that these differences stimulate never-ending discussions should not trouble us. This just shows that this concept is non-trivial and difficult to conceptualize. More troublesome is the fact that the variety of definitions are not followed by the development of the comprehensive tools for its inquiry or its consistent models. There are so many definitions but the concepts that they provide are rarely followed by theoretical studies of their qualitative (structural) characteristics and their quantitative descriptions are usually limited to attempts of the reconstruction of some elements of Shannon's communication theory without much concern that this theory is based on the probabilistic conceptual framework. Of course, probability is a very useful tool for inquiries as we can see in physics, chemistry, sociology, or any other disciplines. However, in all these applications probability enters after structural analysis. That information should set foundations for probability, not the other way around, is not a new idea. It stimulated Kolmogorov in his inquiries of computational complexity a half century ago. More recently Rota in his Turin Lectures proposed the direction of the study of information based on the logic of partitions with the same objectives. In both cases the priority was given to the structural analysis of information. It is an irony of history that the first study of information of this type was published twenty years before Shannon's paper by Hartley. In Hartley's paper the concept of probability does not appear at all. Instead he refers to the invariance of information with respect to its encoding. In order to make information the fundamental concept of the inquiry of reality in its complex hierarchy from the level of elementary particles, through molecular structures, living organisms, their populations embedded in the environment, to conscious human beings and their cultural organizations it is necessary to develop an adequate complex of methodologies.
Biography: M. J. Schroeder is Professor Emeritus at Akita International University, Akita, Japan and Specially Appointed Professor at the Institute of Excellence in Higher Education at Tohoku University, Sendai, Japan. His educational background is in theoretical physics and mathematics, but his research interests also include logic and philosophy. Since 2016 Founding Editor-in-Chief of Philosophies (MDPI); 2019-2021 President of the International Society for the Study of Information.
4. Rafael Capurro
Title: Take Your Time!——Smart Systems in the Digital Age
Abstract: Artificial smart systems "behaving as though guided by intelligence" interact with natural human and animal smart intelligence. What makes the difference? Firstly, natural smart intelligence arises from the being itself and concerns its own goals. Artificial smart systems get their goals from the outside even if they can further develop it by giving the impression "as though" they were their own. Secondly, their intelligence is based on stochastic processes. Such processes are random as opposed to deterministic ones. The Greek word stochastikós is derived from stocházomai meaning aim at a target, from Greek stóchos aim. Artificial smart systems — or, better to say, their human designers let — calculate the best way to attain a goal given to them based on stochastic models that they can change as if they were learning not only by themselves but also for themselves as in the case of natural smart systems. They can do this quickly and shrewd as if they were making a conjecture about the best way to attain a goal as if it were their own goal. Hubert Dreyfus did foundational work on the difference between expert systems, the smart systems at that time, and human experts (Dreyfus 1972). His phenomenological and hermeneutic arguments are as fresh as they were fifty years ago.
Ethics in the age of smart systems means to ask the question of the relation between cunning intelligence and moral intelligence called prudence (phronesis) by Aristotle in the Nicomachean Ethics (Aristotle 1962; Capurro 2020). Although Aristotle does not use the term metis he uses other similar terms such as skill (deinotes) and cunning (panourgia). Skill is praised in case the goals are good, otherwise it is just cunning. Prudence (phronesis) implies cunning but not vice versa. Wickedness (mochtheria) and falsehood (diapseudesthai) distort the judgement of reason (Aristotle, NE 1143 b 23-36). Phronesis mediates between the knowledge of what is permanent (sophia) and the realm of human action (ta anthrophina) particularly regarding the means to attain happiness (eudaimonia) (Aristotle, NE 1143 b 20). The reason why metis is not mentioned by Aristotle in his analysis of the relation between phronesis and cunning intelligence might be his taking a critical distance of mythical metis as well as its use in human and non-human contexts blurring the differences. Aristotle acknowledges that some animals have the capacity of previewing (dynamin pronoetiken) but he does not agree with "some people" who believe that "animals have prudence (phronima)." (Aristotle, NE 1141 a 27). Detienne and Vernant remark that the link between human logos and living beings without logos (aloga zoia) might become problematic if human phronesis interferes with animal intelligence although he gives conjectural knowledge a positive value in contrast to Plato who devalues knowledge based on probability as contrary to the ethical value of temperance (sophrosyne). For Aristotle, sagacity (anchinoia) implies a certain flexibility of the soul in contrast to the quietness (hesuchia) of temperance (Detienne and Vernant 1974, 304-306).
The Aristotelian analysis of the relation between phronesis and cunning intelligence provides a framework for dealing with today's ethical issues of smart systems that can be compared, for instance, with the famous Chinese "Thirty-six stratagems" as analyzed by Swiss sinologist Harro von Senger (Senger 1993).
Where, for whom, to what extent, and at what price do smart systems make sense? What are the limits of their use in private and political life? What is good as a possibility for the community as a whole and what is good for me or for us? What should we promote or forbid by law and what should we not? How can we initiate a lasting (academic and daily) critical reflection on good living with smart systems?
Immanuel Kant wondered: <<Do we live in an enlightened age?>> (Kant, 1975, 59). Even if the answer was no, he did think it was an age of enlightenment. Kant expected that when the «the urge for and the vocation of free thought» had developed, it would gradually impact not only the population, making citizens more capable of «acting in freedom», but also on «the fundamentals of government», which would treat humans, «who is now more than a machine, in accord with his dignity» (Kant, 1975, p. 61). What better guidance for thinking and acting in digital futures than these words by Kant published in Königsberg on 30 September 1784? The dignity of the human person that wonders «who am I?» is different to its digitalisation, which can change and answers the question «what am I?» (Capurro, 2017b; Capurro, Eldred, & Nagel, 2013). Smart systems behave "as though guided by intelligence", that is to say, as if they were guided by a 'who' while in fact it is just a reified one, or a 'what'.
The difference between who and what is the basis of ethical thinking particularly in the age of smart systems. We must learn the vocation of free thinking outside the greenhorn field of algorithms guiding smart systems (Seyfert & Roberge, 2016), and to this end we must expand the concept of digital enlightenment or digital literacy (Limberg, Sundin, & Talja, 2012). This is because this concept is generally understood as education in the use of digital technologies in general and smart systems in particular and not as the task of reflecting upon individual and collective life and considering sustainable digital futures. Do we live in a smart age? No, we live in the age of smart systems that looks sometimes as behaving though guided by intelligence while being, in fact, stupid. The ethical challenge is to envisage smart living within and beyond the stochastic horizon of smart systems. To put it shortly: Take your time! Be smart in the age of smart systems.
Biography: Rafael Capurro born 1945 in Montevideo (Uruguay). Dr. phil. in Philosophy from Düsseldorf University. Postdoctoral teaching qualification in Ethics from Stuttgart University. Professor emeritus of Information Science and Information Ethics at Stuttgart Media University (1986-2009). Lecturer at the Institute of Philosophy, Stuttgart University (1989-2004). Founder of the International Center for Information Ethics (ICIE). Former Editor-in-Chief of the International Review of Information Ethics (IRIE) (2004-2018). Former member of the European Group on Ethics in Science and New Technologies (EGE) to the European Commission (2000-2010). Founder of the Capurro Fiek Foundation for Information Ethics. Research Associate in the Department of Information Science, Faculty of Engineering, Built Environment and Information Technology, University of Pretoria, South Africa (2017-to present). Member of the Executive Board of Responsible Robotics. Special ANIE (Africa Network for Information Ethics) Award for a decade of special contribution to Information Ethics (2014). INSEIT International Society for Ethics & IT / Joseph Weizenbaum Award in Information and Computer Ethics 2021.
5. Kun Wu
Title: The Information Paradigm, Spanning All Levels of Human Knowledge
Abstract: The revolutionary development of human knowledge and the fundamental change of human civilization are impulsed by the transformation of scientific paradigm. We have enough reason to regard the middle of the 20th century as the beginning of a new human era. Since then, a new scientific and technological revolution has brought mankind into the new era of information civilization, accompanied by the rise of information paradigm. This talk will be presented in the following four aspects: Information paradigm; The unified relationship of inner fusion of human knowledge developing patterns; The unified information science between heaven and earth; A rationally constructed philosophy of information is the philosophical basis for establishing a unified information science.
Biography: Kun Wu, born in 1953, is currently the director of the International Information Philosophy Research Center of Xi'an Jiaotong University, the chief expert of the Information Philosophy and Intelligent Society Basic Theory Research Base, the second-level professor, doctoral advisor, and the special allowance expert of the State Council. He also served as the vice chairman of IS4SI and its Chinese branch, the executive director of the Chinese Research Association of Natural Dialectics and the vice chairman of its complexity and system science professional committee, and the chairman of the Shaanxi Research Association of Natural Dialectics. He is mainly engaged in the research of information philosophy and complexity theory. It has published 22 monographs, 2 translated works, 5 textbooks, and more than 400 academic papers in both Chinese and English. It has successively hosted 23 scientific research projects including major, key and general projects of the National Social Science Foundation, and won 54 scientific research awards of various kinds, including many provincial and ministerial first, second and third prizes. The main academic contribution is to introduce the concept of information into philosophy as one of the basic categories of philosophy, and establish a complete system of information philosophy. It is praised as "the pioneer of information philosophy" and "the first person of information philosophy" by the academic circles.
6. Tian’en Wang
Title: A Receptive Relation Understanding of Information Paradigm Change
Abstract: The understanding of information that fundamentally determines the information paradigm shift is not only one of the most complex problems human beings facing, but also a major issue that needs to be deepened more and more urgently with the development of big data and artificial intelligence. Within nearly one century, the development of the understanding of information has experienced a step by step in-depth process, and there have been three main ways: the source preexisting understanding, the signal carrying understanding and the receiver assigning understanding of information. These three ways of understanding come from a same paradigm, but gradually getting closer towards proper understanding of information. They have formed important logical phases for information research, and these approaches provide a foundation for further explorations. In order to reach a proper understanding of information from them, we need to deal with a more fundamental paradigm shift. The further breakthrough of information understanding involves basic paradigm transfer: understanding information as some kind of relation.
There have been some researches on information that indicates a clear tendency of understanding information as relation, yet not being updated to the paradigm level. Understanding information as relation is showing its significant meaning in the change of paradigm. Since most relations have nothing to do with information, there arises a key question that needs to be further addressed: What kind of relation is information?
These three ways serve as individual piers for the understanding of information and construct a "bridge" from matter and energy to information, building a foundation for reaching the receptive relation understanding of information based on the integration of science and philosophy. As the receptive relation, quantum phenomenon is a typical form of information, “the moon in the water” and “the flower in the mirror” are all indeed information.
There are two kinds of receptivity: the receptor receptivity and the organism receptivity. It is the organism receptivity that enables us to understand fully the most original information in place. It is the receptive relation that forms the point of Archimedes for the paradigm transition of information understanding. In this information understanding, the mature basic form of information is the receptive relation between the receiver and the source, which is not only a perceptual (practical) relation, but also a process relation or relational process. The receptive relation understanding of information makes it distinguishable from information encoding. It is of great importance to realize the difference between information and information encoding, which concerns the critical point for removing the shroud of matter/energy from information. Regarding material coding of information as information itself is an inevitable result before achieving the receptive relation understanding of information. It is also the major fog that confuses our information understanding, as in biology field, as well as in physics. Through receptive relation, we are able to understand not only the biological information that the specialized sensor has not yet appeared, and deeply understand the information nature of DNA.
For receptive relation understanding of information, biological information denoted by DNA involves its final fortress to be conquered and also being regarded as the “promised land” for information paradigm transition. To understand information as receptive relation, the information evolution process before the separation of source and receiver is critical.
Since the encoding is information encoding, according to the encoding paradigm, chemical plus information encoding suffices to form this paradigm, only that the question of “What is information?” is still left unanswered. What can be sure is that the distinction of information and information encoding is a critical step forward for biological information understanding, and this is where human as receiver can easily get lost, including our understanding of the relation between the material and the spiritual.
We can also unfold the basic features of information and prospect the sensory development of artificial intelligence, and promote the research on the core mechanism of general machine intelligence based on the understanding of the informational nature of bit and digitization. From the receptiveness of receiver, the receptive relation understanding builds up relational paradigm for understanding information based on source and signal. It clarifies the relation between matter and information, resolves the paradox of information conservation and differentiates information from information code, providing theoretical premise not only for both further research on creativity, emergence, reciprocity and shareability of information, but also for deeper exploration on "Principle of operational identity" of matter and information.
The understanding of information, as a basic concept, involves a more profound paradigm transition of human cognition development. During this transition process, source-based information understanding is the first step from matter science paradigm; signal-based understanding is an important step mainly on the basis of information technology development; receiver-based understanding is a key step mainly for philosophy on the basis of science development. It is these three approaches and their research results that build up the cognitive foundation for paradigm transition from matter to information. In the light of quantum mechanics, the development of big data and AI allows for information unfolding and its receptive relation understanding in this era. It indicates real transition from matter paradigm to information paradigm, from which we could see the basic features of information. This way of understanding makes the basic features of information different from matter stand vividly revealed on the paper: information is the receptive relation, from which we can foresee the different prospects of information in life mystery, as well as human being itself, and understanding of AGI core mechanism. Based on the above features, a series of new conclusions can be obtained: research on receptive relation understanding and nature of information is of wide and profound significance for theory and practice. We can see broader prospects for development based on receptive relation understanding of information. One of the most important discoveries is that the relation paradigm transition of information understanding clarifies several inevitable misunderstandings about information, leading us out of the paradox dilemma of encountered in information understanding. The most basic and important paradox is the unbelievable irrational relation between the inevitable information conservation conclusion in physics and the obvious fact of information creativity.
Biography: Tianen Wang is a professor of Philosophy Department, Shanghai University with a PhD from Wuhan University. He was a senior visiting Scholar at Rutgers University and Georgia Institute of Technology, a research fellow and director of the Institute of philosophy of Jiangxi Academy of Social Sciences, professor and dean of the School of Social Sciences, Shanghai University. His main research interest: the basic theory of philosophy, including philosophy of quantum theory, quantum information, information philosophy, information civilization, philosophy of big data, descriptive theory, and theory of stipulation, anthropology of knowledge, paradox and causality etc.
10.2 Forum on Information Science
Call for Papers of Forum on Information Science
All colleagues and friends interested in the study of information are welcome to submit their abstracts (with the length not less than 2000 words) of papers to the summit. The abstract will be peer reviewed by Program Committees of the Forum. The qualified abstract will be selected for oral presentation.
The qualified presentations of the abstracts will be published in Proceedings while high-quality presentations will be selected to be extended as the chapter papers of book series published by World Scientific Press.
The Scope of Information Science
(1) Foundations of Information Science
(2) Theoretical Information Study
(3) Intelligence Science
(4) Mind Computation
(5) Mechanism of Intelligence Creation
(6) Embodied Intelligence
(7) Brain Cognition
(8) Mathematics for Intelligence
(9) Logic and Intelligence
(10) Neural Science
(11) Artificial General Intelligence
(12) Noetic Science and Cognitive Science
ORGANIZING COMMITTEES
Forum Chairs
Zhongzhi Shi (China)
Mark Burgin (USA)
Members of Program Committee
Cungen Cao (China)
Mihir Chakraborty (India)
Tiejun Cui (China)
Jiali Feng (China)
Ben Goertzel (USA)
Huacan He (China)
George Hinton (Canada)
David Leake (USA)
Qingyong Li (China)
Kai Liu (China)
Ping Luo (China)
Jinwen Ma (China)
Yan Ma (China) (China)
Yingcang Ma (China)
Xiangfu Meng (China)
Di Na (China)
Chuan Shi (China)
Yong Shi (China)
Andrzej Skowron (Poland)
Pei Wang (USA)
Peizhuang Wang (China)
Shi Wang (China)
Xiaofeng Wang (China)
Chuyu Xiong (USA)
Yiyu Yao (Canada)
Yi Zeng (China)
Yixin Zhong (China)
Invited Speakers
1. David Leake, Indiana University
Title: Bridging AI Paradigms with Cases and Networks
Abstract: For many years symbolic paradigms dominated AI, but impressive accomplishments of neural approaches made them a new dominant paradigm. However, each approach offers distinct advantages. This talk presents a hybrid paradigm integrating case-based reasoning (CBR) with network methods to achieve benefits of both. CBR is a knowledge-based reasoning and learning methodology inspired by human cognition that adapts prior cases---records of prior experiences---to solve new problems. The CBR process supports efficient knowledge-based reasoning and reuse of structured or unstructured solutions, is naturally interpretable, can learn from few examples, and provides inertia-free lazy learning. However, the success of CBR depends on similarity and case adaptation knowledge, which may be hard to acquire. The talk illustrates opportunities for combining case-based reasoning with neural networks to leverage both paradigms.
Biography: David Leake is a Professor of Computer Science in the Luddy School of Informatics, Computing and Engineering at Indiana University, where he served as Executive Associate Dean from 2012-2021. He received his PhD from Yale University in 1990. His research is in artificial intelligence and cognitive science, including contributions in case-based reasoning, explanation, intelligent user interfaces, introspective learning and neuro-symbolic AI. He has authored/edited over 200 publications with over 9,000 Google Scholar citations. He played a key role in developing the field of case-based reasoning and is a five-time winner of best paper awards at the International Conference on Case-Based Reasoning (ICCBR). He is Editor in Chief Emeritus of AI Magazine, the official magazine of the Association for the Advancement of Artificial Intelligence (AAAI), after 17 years as Editor in Chief. In 2014 he received the AAAI Distinguished Service Award. He is a Senior Member of AAAI.
2. Ben Goertzel
Title: Approaching General Intelligence via Hybridizing Large Language Models with Symbolic Logical Inference and Evolutionary Learning
Abstract: Large Language Models do well at synthesizing large volumes of input data, but lack robust ability to distinguish truth from falsehood or ground statements in reality, and also lack the
capability for fundamental creativity and innovation. These lacks can be overcome via cognitive architectures that hybridize LLMs with symbolic reasoning (which handles grounding and truth evaluation) and evolutionary learning (which handles creative invention). Work currently being done in this direction using the OpenCog Hyperon cognitive architecture will be described, and preliminary results presented that demonstrate increased truth discrimination capability via extracting knowledge from LLMs into structured logical format and performing uncertain inference on this logical knowledge.
Biography: Dr. Ben Goertzel is a cross-disciplinary scientist, entrepreneur and author. He leads the SingularityNET Foundation, the OpenCog Foundation, and the AGI Society which runs the annual Artificial General Intelligence conference. Dr. Goertzel also chairs the futurist nonprofit Humanity+, serves as Chief Scientist of AI firms Rejuve, Mindplex, Cogito and Jam Galaxy, all parts of the SingularityNET ecosystem, and serves as keyboardist and vocalist in the Jam Galaxy Band, the first-ever band led by a humanoid robot.
3. Eunika Mercier-Laurent
Title: The Future of AI. Protecting Humans
Abstract: AI systems have become a part of our lives, even many people let themselves be "programmed" by AI. How to consider exponential generation of data and race for computer power with the Planet protection? How far we can go with AI research and applications? This talk will present some perspectives and warnings on our new synergy with AI systems.
Biography: Eunika Mercier-Laurent is electronic engineer, PhD in computer science, expert in artificial intelligence, associate researcher with University of Reims Champagne Ardennes and Professor at EPITA International Masters and SKEMA.
She has over 15 years of involvement with IFIP including the Chair position of Technical Committee 12 on Artificial Intelligence since 2019 and Chair of WG 12.6 (AI for Knowledge Management). She is representative of TC12 in France since 2018.
Her teaching and MOOC includes Knowledge Management & Innovation powered by AI, Ethical Development of AI Systems, Innovation Ecosystems and Innovation Week Challenges.
After working as researcher in INRIA, computers designer and manager of innovative AI applications with Groupe Bull, she founded Global Innovation Strategies devoted to all aspects of Knowledge Innovation. Among her research topics are: Knowledge and Eco-innovation Management Systems, AI methods and techniques for innovation, knowledge modelling and processing, complex problem solving, AI for sustainability, eco-design and impacts of artificial intelligence.
She is President of Innovation3D, International Association for Global Innovation, expert for EU programs, member of Managing Body of the EU K4I (https://www.knowledge4innovation.eu) and author of over hundred scientific publications and books. Among the last “The Innovation Biosphere, Planet and Brains in Digital Era”, “Intelligence in Energy” with G. Kayakutlu and “World Class Cooking for Solving Global Challenges” with L. Edvinsson.
4. Andrzej Skowron
Title: Informational Granules in Interactive Granular Computing
Abstract: Interactive Granular Computing (IGrC) model was developed as a basis for designing of Intelligent Systems (IS’s) dealing with complex phenomena. In IGrC, computations are performed on complex granules (c-granules). Control of c-granule is transforming the current configuration of so called informational granules (ic-granules) into a new one according to a rule selected by the control. The decisions in rules specify transformations of configurations of ic-granules. After selecting the rule, the control of c-granule sends the specification of transformation pointed by the decision of the rule to the implementational module. This module by implementation of the transformation in the physical world realises the physical semantics of this transformation. Informational granules are crucial objects in IGrC making it possible to link abstract objects and physical (not mathematical) objects. Hence, the discussed computing model is not purely abstract. Informational granules are responsible for realisation of interaction of c-granules with the environment. In this lecture, we discuss in more detail the role of ic-granules in perceiving the real world by c-granules.
Biography: Andrzej Skowron, EurAI(ECCAI), AAIA and IRSS Fellow, Member EU Academy of Sciences, received the Ph. D. and D. Sci. (habilitation) from the University of Warsaw in Poland. In 1991 he received the Scientific Title of Professor. He is Full Professor in the Systems Research Institute, Polish Academy of Sciences as well as in Multidisciplinary Research Center of Cardinal Stefan Wyszyński University in Warsaw. He is Emeritus Professor in Faculty of Mathematics, Computer Science and Mechanics at the University of Warsaw. Andrzej Skowron is the (co)author of more than 500 scientific publications and edited books or volumes of conference proceedings. His areas of expertise include reasoning with incomplete information, approximate reasoning, soft computing methods and applications, rough sets, (interactive) granular computing, intelligent systems, knowledge discovery and data mining, decision support systems, adaptive and autonomous systems, perception based computing. He was the supervisor of more than 20 PhD Theses. In the period 1995-2009 he was the Editor-in-Chief of Fundamenta Informaticae journal. He is on Editorial Boards of many others international journals. Andrzej Skowron was the President of the International Rough Set Society from 1996 to 2000. He has delivered numerous invited talks at international conferences. He was serving as (co-)program chair or PC member of more than 200 international conferences. He was involved in numerous research and commercial projects including dialog-based search engine (Nutech), fraud detection for Bank of America (Nutech), logistic project for General Motors (Nutech), algorithmic trading (Adgam), control of UAV (Linköping University), and medical decision support (e.g., in Polish-American Pediatric Clinic in Cracow). Andrzej Skowron was on the ICI Thomson Reuters/ Clarivate Analytics lists of the most cited researchers in Computer Science (globally) in 2012, 2016, 2017.
5. Zhongzhi Shi
Title: The High-end Development of Information Science——Intelligence
Abstract: Human society has experienced agricultural revolution, industrial revolution and information revolution. Information resources have become strategic resources as important as materials and energy. Information, with its wide penetration and outstanding progressiveness, combines with traditional industries to promote national economic and social development. Information science is a science that studies the laws of information movement and application methods. It is a new and comprehensive science that is made up of information theory, cybernetics, system theory, computer theory, and intelligent science theory.
At the end of the 1940s, American mathematician Shannon published two famous papers, "The Mathematical Theory of Communication" and "Communication in Noise", put forward the mathematical formula of information entropy, described the transmission and extraction of information from the quantitative aspect, and founded information theory. American mathematician Weiner published the famous Cybernetics during this period, revealing the common information and control laws of animals and machines. British scientist Turing proposed the famous Turing machine model, which laid the foundation for the logical working mode of modern computers. Turing proposed Turing test as a test method to determine whether the machine has intelligence.
At present, the high-end development of information science is intelligence. Intelligentization should achieve perceptual intelligence, cognitive intelligence, decision-making intelligence, adaptive behavior, and artificial intelligence at the level of human brain. The 21st century is the century of intelligent revolution. High-tech with intelligent science and technology as the core and life science as the leading will set off a new high-tech revolution - intelligent technology revolution. In 2017, DeepMind put forward the concept of RLHF (reinforcement learning from human feedback), which became the key to ChatGPT's important emerging ability. It improves the effect of reinforcement learning through manual annotation as feedback. In June of the same year, Google released a milestone in the NLP field - Transformer, which became the infrastructure of all LLM and paved the way for GPT. In April 2022, Google released the language model PaLM based on the general AI architecture, and proposed a logical thinking chain. In December 2022, the ChatGPT of OpenAI swept across the world, rapidly detonating the world, which can be regarded as a step towards the AGI milestone.
We propose the mind model CAM (Consciousness And Memory), which can be used as a general intelligent system platform. Through cognitive machine learning, combine machine learning with brain cognitive mechanism to realize knowledge emergence, procedural knowledge learning, learning evolution, etc. The fusion and even integration of biological intelligence (human brain) and machine intelligence (machine), which perfectly combines the perception and cognitive ability of human brain with the computing ability of machine, is expected to produce a stronger intelligence form that is beyond the reach of existing biological intelligence systems and machine intelligence systems. This form is called Brain-Computer Integration. The Brain-Computer Integration is mainly composed of environmental awareness, cognitive reasoning, collaborative decision-making and automatic execution.
Biography: Zhongzhi Shi, Professor at the Institute of Computing Technology, Chinese Academy of Sciences. Fellow of CCF and CAAI. IEEE senior members, AAAI, ACM members. His research interests mainly contain intelligence science, artificial intelligence, multi-agent systems, machine learning. He has been responsible for 973, 863, key projects of NSFC. He has been awarded with various honors, such as National Science and Technology Progress Award (2012), Beijing Municipal Science and Technology Award (2006), the Achievement Award of Wu Wenjun artificial intelligence science and technology by CAAI (2013), the Achievement Award of Multi-Agent Systems by China Multi-Agent Systems Technical Group of AIPR, CCF (2016). He has published 20 books, including "Mind Computation", "Intelligence Science", "Advanced Artificial Intelligence", "Principles of Machine Learning". Published more than 500 academic papers. He served as chair of the machine learning and data mining group WG2, IFIP TC12. He served as Secretary-General of China Computer Federation, vice chair of China Association of Artificial Intelligence.
10.3.1 Forum on Information Technology (1)
Call for Paper
Supercomputers are important infrastructures to provide huge computing power and enable better time- and space- resolutions for information technology. Recent years have also seen lots of successful efforts that accelerate AI computing by using the most powerful supercomputers. Nowadays, the world’s cutting-edge supercomputers are capable of providing computing performance with tens or hundreds of PetaFlops, and greatly facilitate scientists and researchers for performing finer domain studies and productivities. However, the fast development of high performance computing (HPC) techniques, as well as the surging demand from application side, also leads to a diversion in the architecture of supercomputers. Challenges in memory, communication, load balance, etc, have to be well resolved, to fully utilize the rich resources provided by the large-scale systems. Therefore, state-of-the-art optimization methods, including novel technique breakthroughs in domain decomposition, memory, network, load balance, mixed-precision arithmetic, etc., are in urgent demand to fit the complex numerical algorithm into the complicated and novel architecture of these emerging system. Customizable hardware or specific tuning methods for certain application, are also in great demand. This session is calling for submissions of original studies or extended work that provide sophisticated HPC solutions to scale essential applications on novel systems such as CPU, GPU, FPGA, etc. The topics includes but not limited to:
(1) Numerical method for scientific computing
(2) High performance computing (HPC)
(3) Intelligence computing
(4) HPC-AI
(5) Quantum computing
(6) Reconfigurable computing
Program Committee Member
Guangwen Yang， Tsinghua University
Lin Gan， Tsinghua University
Haohuan Fu， Tsinghua University
Xiaohui Duan， Shandong University
Yang You， University of Singapore
Nan Ding， Lawrence Berkeley National Laboratory
Thomas Chau， Samsung AI Centre
Zhao Liu， National Supercomputing Center in Wuxi
Qiang Liu， Tianjin University
Bangtian Liu， University of Toronto
Wenlai Zhao， National Supercomputing Center in Wuxi
Ray Cheung， City University of Hong Kong
Krassimir Markov Bulgaria
Yi Jin Shanghai University
10.3.2 Forum on Information Technology (2)
Call for Papers of Forum on Information Technology(2)
------ The fourth Global Forum on Artificial Intelligence ( 4th GFAI)
Call for Contributions
All colleagues and friends interested in the study of information are welcome to submit their abstracts (with the length not less than 2000 words) of papers to the summit. The abstract will be peer reviewed by Program Committees of the Forum. The qualified abstract will be selected for oral presentation.
The qualified presentations of the abstracts will be published in Proceedings while high-quality presentations will be selected to be extended as the chapter papers of book series published by World Scientific Press.
The Scope of Intelligent Information Technology---4th GFAI
(1) IT-AI for Human Body
(2) Deep learning and Reinforcement Learning
(3) Pattern Recognition and Knowledge Graph
(4) Natural Language Processing and Understanding
(5) Intelligent Robot and Applications
(6) Brain-Computer Interface
(7) Autonomous Driving
(8) Virtual Reality and Augmented Reality
(9) Affective computing and AI ethic
(10) Meta Verse and Future Computing
ORGANIZING COMMITTEES
Forum Chairs
Gordana Dodig-Crnkovic (Sweden, Chair)
Zhicheng Chen (China, Local chair)
Rao Mikkilineni(USA, Co-chair)
Changkai Sun (China, Co-chair)
Members of Program Committee
Gordana Dodig-Crnkovic (Sweden) Chalmers University of Technology
Rao Mikkilineni(USA) Professor of USA
Changkai Sun(China) Dalian University of Technology
Zhicheng Chen (China) Beijing Grid Fractal Dimension Technology Co., Ltd
Yonghong Peng (UK) Manchester Metropolitan University
Samarjit Kar(india) Professor of India
Reetu Bhattacharjee(india) Professor of India
Zhen Chen(China) Tsinghua University
Liqun Han(China) Beijing Technology and Business University
Huacan He(China) Northwestern Polytechnical University
Angsheng Li(China) Beihang University
Jianghua lv(China) Beihang University
Rong Liu(China) Dalian University of Technology
Nan Zhu(China) Dalian University of Technology
Xiujie Zhang(China) The First Affiliated Hospital of Dalian Medical University
Zhiqiang Zhang(China) Zhejiang University of Finance and Economics
Jun Liu(China) China Electronics Technology Group Corporation
Xiaohong Zhang(China) Shaanxi University of Science & Technology
Jianhua Dai(China) Hunan Normal University
Zhanao Xue(China) Henan Normal University
Minxia Luo(China) China Jiliang University
Chuan Zhao(China) Chengdu University of Technology
Tiejun Cui(China) Liaoning Technical University
Shasha Li(China) Liaoning Technical University
Lihua Fu(China) Beijing University Of Technology
Changquan Wang(China) Beijing Vocational CoIlege of Labour and Social Security
Mingyi Mao(China) Beijing Technology and Business University
Invited Speakers
1. Huacan He
Title: New Concept of Information Science
Abstract: The traditional concept of information science is that the universe is composed of three elements: material, energy and information. Information science is a science specialized in the study of information elements. Intelligent science is an advanced part of the theoretical system of information science. The whole scientific system is divided into three parts: material science, energy science and information science. Human thinking and cognitive activities belong to intelligent science.
The new concept of information science put forward by the author is that the universe is composed of two parallel worlds: the physical world and the possibilities world, which evolve and develop simultaneously. In the physical world, there are two major elements: material and energy; In the virtual world, there are two major elements: information and intelligence. Therefore, the whole scientific system is divided into four parts: material science, energy science, information science and intelligence.
This paper briefly discusses the physical space-time environment, the possible space-time environment，the four elements have their respective meanings, basic properties, changing rules, mutual differences and relationships.
Biography: Huacan He is professor and doctoral advisor of Northwestern Polytechnical University. His main research directions are computer science and technology, artificial intelligence foundation and expert system. Professor He is an early pioneer of artificial intelligence in China and one of the initiators of the Chinese Association of Artificial Intelligence (CAAI). He has served as the vice president of CAAI and the director of the Special Committee on Artificial Intelligence Foundation of CAAI. Professor He has presided over dozens of scientific research projects, published works such as "Principles of Artificial Intelligence", "Universal Logics Principle", "Unified Infinity Theory", and published more than 500 papers, and founded "Universal Logic".
2. Changkai Sun
Title: From rhBNN-rhBNN+-iANN studies to development of
a QiGeN model and a heanlthcare Humain system
Abstract: Neural networks are most popular and powerful classes of mathematical descriptions, characterizations, and representations of biological mechanisms of brain functionalities and bio-inspired artificial intelligence algorithms. These biological neural networks make brain having the abilities to learn and adapt to constantly changing behavioral demands, such as identification, recognition of and defense response to various internal and external environment changes. We were thinking that the neural networks of human brain are dramatically different from any other animal brain models and existing artificial intelligence systems, in which human vision and big scaled connected neural networks within whole human brain and whole human body serve together as ministers. We tried to name these distinct human neural networks as real human brain neural networks (rhBNN) and real human body neural networks (rhBNN+) and the new bio-inspired ones as innovative artificial neural networks (iANN) respectively. We had developed a human-like retina chip with individualizedly available (hence gender and person-person differences could be distinguished) human retinal capillary endothelial cells, cone cells, rod cells, and Müller cells. The capillary endothelial cells could form the blood–retinal barrier and communicate to other three neural cells (not merely neurons) to develop a simple organized rhBNN-rhBNN+ systems model. Through this model in single cell scale, we might expectedly get new insightful perspectives on non-linear mapping (from different feature binding illuminations and the barrier graphic inputs to evoked field potential outputs of the four-cell rhBNN-rhBNN+ networks), generative adversarial networks (rod scotopic to cone photopic, glia to neuron, antiinflammatory to proinflammatory) and the information security and human safety, self-organization and evolution, from neuron to module functional specialization, small/weak label/no label sample learning (comparison or connection with related brain substrates), and/or the interpretability (particularly for explainable artificial intelligence). For these purposes, we constructed the chip microelectrode array sensing systems including precision transendothelial/transepithelial electrical resistance (TEER) measuring and field potential monitoring. In consideration of the difference between vision reception, sensation, perception, and cognition, we proposed, established, and quantitatively analyzed a larger related rhBNN-rhBNN+ systems model, cCANtpm2020. Based on these multiscale analyses, we designed a QiGeN model architecture and a related heanlthcare Humain system framework for translational precision medicine of intelligent recognition and decision making for further studies.
★This work was supported by the National Key Research and Development Program of China（No. 2018AAA0100300)
Biography: Changkai Sun received B.S. degree in medicine from The Second Military Medical University, Shanghai, China, in 1986, and Master degree in clinical neurology in 1995 and M.D./Ph.D. degree in human anatomy in 1997 from The Fourth Military Medical University, Xi’an, China, respectively. He was a postdoc fellow at the Institute of Basic Medical Sciences, Academy of Military Medical Sciences, Beijing, China, from 2000 to 2003, and a visiting scholar with the Yue Lab of Neurophysiology, Institute of Biomedical Engineering, and Najm epilepsy center, Institute of Neurology, Cleveland Clinic, USA, from 2005 to 2007. He is currently the Chairman and a Professor with Research & Educational Center for the Control Engineering of Translational Precision Medicine (RECCE-TPM), School of Artificial Intelligence, Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology, China. His current research interests include a multidisciplinary modeling and its applied development of rhBNN-rhBNN+-iANN about real human brain, body, and innovative artificial neural networks.
10.4 Forum on the Information Economy
Call for Papers of Forum on Information Economy
For 2023 International Summit on the Study of Information (ISSI2023)
The Scope of Information Economy
(1) Information Economy Theory (Including the object, content, nature, method, function, history and other basic problems of information economy)
(2) Information Management (Including Accounting and financial information System, IT management, Knowledge management, Commercial management and etc)
(3) Digital Industrialization (Including 5G, Integrated circuit, Software, Artificial intelligence, Big data, Cloud computing, Block chain and etc)
(4) Industry digitization (Including Industrial internet, Intelligent manufacturing, Vehicle networking, Platform economy and et)
(5) Data value (Including Data collection, Data standard, Data pricing, Data transaction, Data protection and etc)
(6) Digital governance (Including Digital Government, Smart Cities and etc)
(7) The Interrelationship among Digital Economy, Information Economy, and Knowledge Economy
ORGANIZING COMMITTEES
Forum Chairs
Xiaoyu Wan (China)
Jorge Maria Diaz Nafria (Spain)
Members of Program Committee
Peifan Yang(China)
Tingjie Lu(China)
Xudong Gao(China)
Xiaoyin Dong(China)
Baowen Sun(China)
Rihui Ouyang(China)
Hong Zhang(China)
Jun Yang（China）
Jiexun Li(United States)
Xiaoyu Long(China)
Zifang lu(China)
Dongyang Qiu(China)
Xianfeng Wu(China)
Zifu Fan(China)
Anwen Lu(China)
Invited Speakers
1. Peifang Yang
Title: Developing Information Intelligent Economy and Building a Middle Class Inclusive Society
Abstract: The development of the information economy can be divided into three stages: networking (construction), digitization (application) and intellectualization (upgrade). It is now at the stage where digitalisation is moving towards intelligence and becoming a direct productivity. The traditional industrial economy, with its massive consumption of scarce resources, inevitably discriminates against the poor and favors the rich, resulting in social polarization. The information economy, with its low dependence on material resources, increasing marginal utility and zero marginal cost, is an economy that naturally benefits the masses. The rapid spread of the Internet and smartphones in underdeveloped countries and backward regions is ample proof of this.
In the age of information intelligence, both centralised planning and free market economic models are not adapted to the development of emerging productive forces. Chinese academics are taking stock of their experience, and a new economic model of synergy and mutual benefit will emerge. The social enterprise, which is not profit-oriented and pursues universal value, is the micro foundation and final implementation form of this new economic model.
If the hand-push mill inevitably produces a society headed by feudal lords, the steam mill inevitably produces a society headed by industrial capitalists. Then, the information intelligent mill will definitely produce an inclusive information society headed by the intellectual middle class. The key is that people's bodies have already entered the information age, and their "heads" cannot remain in the industrial or even small peasant economy!
Biography: Peifang Yang, chairman of the Chinese Society of Information Economics, former Secretary general of the Expert Committee of Telecommunication Economics of the Ministry of Information Industry, deputy chief engineer of the Research Institute of Telecommunication of the Ministry of Information Industry, professor-level senior engineer, member of the Academic committee of China National People's Livelihood Research Institute, special researcher, professor of several universities.
10.5 Forum on the Information Society
Call for Papers of Forum on Information Society
The Theme and Topics of Information Society Forum
In its direct sense, the information society differs from the agricultural society and the industrial society in a new social model produced in the information age. Its prominent symbol is the extensive, in-depth and comprehensive application of big data, information technology and network system in social system and social life, which forms a new society with electronic information technology as its foundation, information resources as its basic development resources, information service industry as its basic social industry, and digitalization and networking as its basic social communication mode. This meeting puts forward the following eight topics as reference areas, not excluding other areas and other issues related to the information society.
Topics of the forum:
(1) The Information Society
(2) Intelligent Social Governance
(3) Education in the Information Society
(4) Medicine in the Information Society
(5) Human Nature in the Information Society
(6) Human-Robot Relationships
(7) Digital Culture
(8) Digital Sports
Contributions and Other Information
A. The working language is English; the qualified presentations will be invited to give a report in English;
B. The abstracts (with the length not less than 2000 words) are required to submit by April 30, 2023;
C. The abstract will be peer reviewed by Program Committees of the Forum. The qualified abstract will be selected for oral presentation.
D. The qualified presentations of the abstracts will be published in Proceedings while high-quality presentations will be selected to be extended as the chapter papers of book series published by World Scientific Press.
E. Contacts: Ms. Fangyuan Li, Tel: +86-13554311365; email: 470284367@qq.com
F. More information visit: https://is4si.org/is4si-summit-2023/
ORGANIZING COMMITTEES
Forum Chairs
Kang Ouyang (China, Chair)
Wolfgang Hofkirchner (Austria, Co-chair)
Changkai Sun (China, Co-chair)
Jorge Navarro Lopez (Spain, Co-chair)
Jinwen Ma (China, Co-chair)
Members of Program Committee （in order of Surname）
Hongwei Ge (Dalian University of Technology)
Chengyi Hou (Donghua University)
Ruimin Hu (Xidian University)
Fangyuan Li (Huazhong University of Science and Technology）
Hailong Liu (Dalian University of Technology)
Jun Meng (Zhe Jiang University)
Bin Pan （East China Normal University）
Wenhua Shen (Beijing University Of Agriculture)
Weiping Sun（Shanghai University）
Xiaoqun Wang (Peking University)
Lisheng Xu (Northeastern University)
Chengwen Zhang (Beijing University of Posts and Telecommunications)
Minwei Zhang (Xinjiang University)
Guodong Zhao (Peking University)
Xuezhong Zhou (Beijing Jiaotong University)
To be added and Revised
Invited Speakers
1. Steve Fuller
Title: A WORLD INFORMATION STRATEGY FOR THE FUTURE
Abstract: The premise of this keynote address is that the world’s modern information infrastructure is mainly of Western origin but that its contributors and users are increasingly non-Western in origin. This has many interesting consequences for information research and policy. I will develop three of them. The first concerns the globalization of English. China is now the country that produces the most academic publications in English. Generally speaking, there is a 5 to 1 ratio of non-native to native speakers of English around the world, which is a uniquely high proportion – and is likely to rise in the future. This has already begun to affect the standards of ‘correct usage’ in English, which are likely to be accelerated by the advent of social media that are not necessarily friendly to the traditional syntactic structures of Indo-European languages. (Think about the increased integration of verbal, visual and sound imagery.) The second consequence concerns what the great University of Chicago information scientist Don Swanson called ‘undiscovered public knowledge’. In other words, most academic publications go uncited and even unread for various reasons, but mainly to do with the fact that academics are trained to read narrowly in their fields – e.g., to follow the ‘hot’ topics and ignore everything else. There is very little incentive to read across academic disciplines to see novel connections between facts and ideas that might solve existing problems without the need to commission massive additional research. Swanson was effectively challenging us to make more efficient use of the information already available to reduce the tendency to ‘reinvent the wheel’. The third consequence pertains to what I call ‘precipitatory governance’, by which I mean the capacity to access and utilize information in case of a major catastrophe (e.g., nuclear war, climate change) that destroys the mainstream information channels. It was the sort of mentality that led the US agency DARPA to develop the internet in the 1960s -- in case a nuclear war took down the telephone system. Even though that war never happened, the capacity had been created and subsequently laid the foundation for the post-Cold War ‘Fourth Industrial Revolution’. There are many ways to develop precipitatory governance, some of which I will consider. Together they reveal just how much existing power structures depend on specific information infrastructures remaining intact – and how quickly those structures might change with a shift in the media through which information is accessed and utilized.
Biography: Auguste Comte, academician of the British Academy of Social Sciences and chair professor of social epistemology, Department of Sociology at the University of Warwick，Coventry CV4 7AL， United Kingdom.
2. Prof. Roopinder Oberoi
Title: Information Societies and Transformative Social Governance: Revisiting the Debates and Deliverables for Futuristic Societies
Abstract: American sociologist Daniel Bell in 1970’s pronounced a gripping vision of the ‘information society’. He claimed that information will be the momentous resource of a new ‘post-industrial’ phase of social and economic advance, as raw materials were the fundamental resource of the agricultural society and energy of the industrial society. The dominant technologies, techniques, and knowhow for this new information era will be those involved in the storing, processing, managing, distribution, communication, and interlinking of information. The terms “information economy” and “information society” currently is the predominant way of describing the world. Information has been marshalled into bodies of knowledge, and some of these concern information itself and some concern information technologies. For decades—even preceding to the beginning of the term—AI has stimulated both anxiety and anticipation as humankind considers fashioning machines in our image. At present Artificial intelligence (AI) has captivated the world, with stirring new openly accessible AI-driven tools like ChatGPT, Dall-E, a new version of Microsoft’s Bing search engine and an ego-bruised Google trying to catch up. AI is here now, available to and benefiting us all. But its consequences for our social order are not only not understood, but have until recently barely even yet been the subject of study (Bryson, 2015).
The far-reaching and profound impact of the digitization of information and communication processes has long been noted (e.g., Wiener 1948; Machlup 1962; Bell 1973). It is widely recognized that the advancement of digital information and communication technologies (ICT) has led to a new mode of development (e.g., Perez 1983; Freeman and Louc¸a 2001). With the arrival of digital systems, the storage, communication, and computation of information became the omnipresent core of social and political activity, and of economic and cultural production (e.g., Webster 1995; Castells 1996). As with previous innovations, the nature of the ICT diffusion process is characterized by a well-known S-curve from center to periphery, wherein the center can be depicted as being more developed and the periphery as underdeveloped (Rogers 1962).
We are now encircled by—even entrenched in—universal automated perception, scrutiny, and ever more action. What will be the effects of inescapable synthetic intelligence? Is it good for society and social governance systems? More multifaceted measures differentiate among three successive steps in an embracing of the technology: ICT access, use, and impact (Organization for Economic Cooperation and Development [OECD] 2002). Information society context necessitates an emphasis that incorporates more than just data and an understanding of social transformation that takes into account the random involvedness and variability of human ingenuity and social exchanges. An initial step towards innovative understanding is to identify that ICTs, like all know-hows, are intrinsically social as they are indistinguishably bound up with the vast number of selections and exchanges enacted through an interlaced web of co-evolving individuals, organizations, philosophies, and technology. Technologies are social in that they outline, but do not control, how people do things. This makes some pathways more economically, culturally, or socially rational than others.
Recurrent discussion and focus over the digital divide recognize this dynamic in advocating more universal access to technologies, but this idea only scrapes the superficial as issues are far more encompassing. Shaping access involves a political process of conflict and negotiation over who gets access to whom, how, and when. The unpredictable outcomes of these processes determine the degree to which ICTs are used to improve or impair the quality of your life and bridge or widen social, economic, and technical divides around the world. As United Nations Secretary-General Kofi Annan (2003) commented: ‘While technology shapes the future, it is people who shape technology, and decide to what uses it can and should be put.’ This paper will look into the theoretical debates and provide empirical examples of transformation which future society 5.0 will have to negotiate with.
Biography: Prof. Roopinder Oberoi is an IoE Fellow and Professor at the Department of Political Science, KMC, University of Delhi. She did Ph.D. in Political Science from the University of Delhi. In 2012, she was awarded a Postdoctoral Research Fellowship by the university Grant Commission of India. She has authored and edited books on the theme of Corporate Social Responsibility Globalization, Social Enterprise, Global Civil Society, Education Policy.
She has published around around 35 articles in peer-reviewed journals and 40 chapters in books. She is an editor of Social Responsibility Journal (UK). She was awarded the UKIERI project. She is visiting a Research Fellow, UK. She has done courses on Entrepreneurship in emerging economies, HarvardX, Social Entrepreneurship, University of Oxford, Public Policy Challenges of the 21st Century, University of Virginia. She has presented 48 research papers in various international conferences. She is also the founder of CISE, KMC.
3. Kang Ouyang
Title: Contemporary Topics of Big Data, Social Complexity and Social Epistemology
Abstract: The emergence of big data increases the complexity of society, and also provides new objects and perspectives for social epistemology research. The chapter of this paper comprehensively and deeply understands the social changes caused by big data, deeply understands the complexity of society, and puts forward suggestions on expanding and deepening the research of social epistemology.
Biography: Ouyang Kang, Dean of the Institute of State Governance at Huazhong University of Science and Technology (HUST), Director of Philosophy Institute at HUST, Professor of the School of Philosophy (HUST)，and Changjiang Distinguished Professor awarded by the Ministry of Education of the people’s republic of China.
4. Hengjin Cai
Title: The Evolution and Governance of An Intelligent Society
Abstract: In modern times, human beings have realized the prosperity of material production through invention and technological progress. However, technological deflation has also intensified. For example, the cost of storage per GB has dropped by about 10 million times from 1981 to 2021. Altman argues, the marginal cost of intelligence and energy will fall rapidly in the next decade, which in the end might approach zero. Falling costs may seem good, but such a decline is still a strong deflation, which is not friendly to the stability of smart societies. As the first growth curve begins to saturate, forms of resource emergence in the past are no longer sufficient to support the future development of the intelligent society. In order to avoid involution and satisfy self-affirmation, human beings need to open the second growth curve and find an effective way of wealth emergence and circulation. Metauniverse is the extension of human consciousness under the current technological conditions and the entrance of human beings into the world of artificial intelligence. In the metaverse, subjects and wealth emerge massively, which is likely to show the second growth curve of human civilization and become an opportunity to govern the intelligent society in the future. We must admit that human has different cognitive level, so we need to let people with different cognition levels realize their own value. If they have the same measure of value, it is then difficult to meet everyone's need for self-affirmation. An intelligent society needs to have various value systems to allow each person choose his or her own value system and fight and grow in it. These can be realized through different tokens. The governance of the intelligent society in the future should emphasize on the future-oriented incentive mechanism, which encourages the cognitive level and innovation ability which are more insightful for the future, rather than the incentive mechanism based on the past wealth and experience. Such mechanism based on the expectation of the future will be more beneficial to the innovation and sustainability of the intelligent society.
Biography: Hengjin Cai is a full professor and a Ph. D. advisor in the School of Computer Science at Wuhan University, a co-founder of 2021 China's Top 100 Quasi Unicorn Enterprises Hangzhou Yulian Technology Co., Ltd, and Associate Director of Mind Computing Committee of China Association for Artificial Intelligence (CAAI), and Associate Director of China Mobile Communications Association Metaverse Consensus Circle (CMCA-MCC), and Associate Director of Wuhan Alumni Economic Promotion Association, a consultant of OpenAtom Foundation, an Editorial Board member of Springer Nature Journal AI and Ethics, a member of Academic Committee of Key Laboratory of Blockchain Technology and Data Security of the Ministry of Industry and Information Technology of the People's Republic of China, Specially invited researcher of China Carbon Neutralization 50 Experts Forum, a member of Artificial Intelligence Ethics Committee of CAAI, a member of Blockchain Committee of CSIAM, an executive member of the Committee of Blockchain of CCF, a member of the Committee of Service Computing of CCF, an associate director of CCIAPCB, a researcher of Guangdong-Macao Advanced Intelligent Computing Joint Laboratory, an honorary advisor of Asian Blockchain Association, an honorary consultant of HKDCA, and a senior researcher of Hong Kong International New Economy Research Institute.
His co-authored book BEFORE THE RISE OF MACHINES: The Beginning of the Consciousness and the Human Intelligence was awarded with the 2017 Wu Wenjun Artificial Intelligence Science and Technology Award, and he has published monographs A Blockchain System with Integrated Human and Computer Intelligence, Blockchain: Embracing the Future of Intelligence, Quantum Technology for General Readers, Metaverse: The Governance in the Digital Era and Metaverse: the Hyper-intelligence for Homo Sapiens in the Future.
5. Qingyong Li
Title: Intelligent railway system integrating "Physics-Information-Society"
Abstract: A modern railway transportation system shows dynamic, open, interactive and autonomic features, and it is a representative of cyber–physical–social system. It comprises the three spaces, i.e., physical space, information space and social space. Physical space includes trains, railway infrastructure (such as rail, bridges and tunnels), other facilities and environmental objects. Information space comprises physical sensor networks, social networks, train control system, transportation management information system and so on. Social space involves transportation participants (passengers, drivers, pedestrians and others), culture and management. This talk will discuss the cutting-edge artificial intelligence technologies for an intelligent railway system, integrating the mentioned physics, information and society spaces.
Biography: Qingyong LI is currently a Professor in the school of Computer and Information Technology, Beijing Jiaotong University, and the vice dean of Jeme TienYow Honors College, Beijing Jiaotong University. He received his B.S. degree in Computer Science from Wuhan University, Wuhan, Hubei Province, China, in 2001; and received his Ph.D. degree in Computer Science from Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China, in 2006.
His research focuses on basic theories and key technologies in the field of artificial intelligence, and his main research interests include computer vision, data mining and intelligent transportation. He has published more than 80 academic papers in top-tier international academic journals (including IEEE TPDS, TKDE, NNLS, etc.) and top academic conferences (including SIGKDD, ICCV, CVPR, AAAI, ACM MM, ICDM, etc.). He has been granted with more than 30 research projects including National Natural Science Foundation projects, et al. He has won the second prize of science and technology award of China Railway Society (ranking first) and the best paper award of some academic conference.
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