Introduction

The Seventh International Conference on Intelligence Science (ICIS2026) will be held in Shanghai,China,on October 30-November 2,2026,focusing on Intelligence Science,Information Science. It is sponsored by Chinese Association for Artificial Intelligence (CAAI);Organizer is East China Normal University,China.

Artificial Intelligence research has made certain substantial progress in some special areas so far. However, the deeper understandings on the essence of intelligence are far from sufficient and, therefore, many state-of-the-art intelligent systems are still not able to compete with human intelligence. To advance the research in artificial intelligence, it is necessary to investigate intelligence, both artificial and natural, in an interdisciplinary context. The objective of this conference is to bring together researchers from brain science, cognitive science, artificial intelligence and and information science to explore the essence of intelligence and the related technologies. The conference provides a platform for discussing some of the key issues that are related to intelligence science.

The main theme of ICIS2026 is Intelligence Science.



Topics of Interest:

The topics of interest include,but not limited to,the following:

l Mechanism of intelligence creation

l Basic process of neural activity in brain

l Perceptual representation and feature binding

l Coding and retrieval of memory

l Large Language Model

l Linguistic cognition

l Advanced Learning

l Thought and decision making

l Emotion and affection

l Development and adaptation of intelligence

l Nature of consciousness

l Mind modeling

l Cognitive computing

l Brain-machine integration

l Intelligent robots and animal robots

l Brain-like intelligence

l Neuromorphic computing

l Big data analytics

l Information science

l Intelligent information processing

l Meta Synthetic Wisdom

l Mind philosophy

l Hybrid intelligence

l Essence of perception

l Mechanism of cognition

l Evolution

l Logic for AI

l Mathematical theory for AI

l Factor Space Theory

l Intelligent education


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