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IJCAI-13 WORKSHOP ON INTELLIGENCE
SCIENCE |
August 4, 2013, Beijing, China
Artificial Intelligence research has made substantial progress since the
1950s. However, many state-of-the-art intelligent systems are still not able
to outperform human intelligence. To advance the research in artificial
intelligence, it is beneficial to investigate intelligence, both artificial
and natural, in an interdisciplinary context. The objective of this workshop
is to bring together researchers from brain science, cognitive science, and
artificial intelligence to explore the essence and technology of
intelligence. This workshop provides a platform to discuss some key issues
in intelligence science:
(1) What new methodologies and ideas may cognitive science and brain science
bring into the research of artificial intelligence?
(2) What are the underlying algorithmic principles and circuitry wiring of
the observed intelligent behaviors?
(3) How are intelligent behaviors realized as hierarchical organization of
functions across multiple modalities and time scales?
(4) What are the key problems of intelligence science that requires joint
research in brain science, cognitive science, and artificial intelligence?
This workshop takes advantage of IJCAI-13 by hoping to attract participants
from academia and industry worldwide. The communication among researchers
from these fields will strongly boost the understanding of intelligence,
provoke new theories on intelligent behaviors and lead to new experiments or
systems.
The workshop is to be held at the beginning of IJCAI-13, August 4, 2013.
Workshop participants will have the opportunity to meet and discuss issues
with a selected focus — providing an informal setting for active exchange
among researchers and developers on topics of common interest.
Topics of interest related to Intelligence Science include but are not
limited to the following areas:
●Basic process of neural activity in brain
●Coding and retrieval of memory
●Learning and synaptic plasticity
●Thought and decision making
●Development and adaptation of intelligence
●Mind modeling
●Brain-machine integration
●Brain-like machine
●Abstraction
●Fusion of machine intelligence and
biological intelligence |
●Perceptual representation and feature binding
●Linguistic cognition
●Exploration and active sampling
●Emotion and affection
●Nature of consciousness
●Cognitive computing and simulation
●Intelligent robots and animal robots
●Creativity
●Encoding and decoding of neural information
●Computational models for
biological-machine systems |
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Submission Deadline :8 April, 2013
Acceptance Notification: 1 May, 2013
Final Version:20 May, 2013
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