The Second International Conference on Intelligence Science (ICIS2017)

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, and artificial intelligence to explore the essence of intelligence and the related technologies. The conference provides a platform for discussing some of the key issues thatare related to intelligence science.
 

The main theme of ICIS2017 is: Intelligence Science, Information and Noetic Science
 

Organized by Shanghai Maritime University and Shanghai Society for Noetic Science , supported by Shanghai Association for Science and Technology(SAST),co-organized by  Shanghai Association for Artificial Intelligence (SAAI), Shanghai logic Association(SLA), Shanghai Chapter Under IEEE and Science and Technology on Information System Engineering Laboratory, National University of Defense Technology. Sponsored by Chinese Association for Artificial Intelligence (CAAI) and China Chapter under International Society for Information Studies.

Topics of Interest:
Topics of interest include but not limited to, the following areas:
· Basic process of neural activity in brain           · Linguistic cognition
· Perceptual representation and feature binding  · Noetic science
· Coding and retrieval of memory                         · Learning and synaptic plasticity
· Exploration and active sampling                         · Thought and decision making
· Emotion and affection                                         · Nature of consciousness
· Development and adaptation of intelligence      · Mind modeling
· Cognitive computing                                            · Brain-machine integration
· Intelligent robots and animal robots                   · Brain-like intelligence
· Neuromorphic computing                                    · Big data analytics
· Intelligent information processing                      · Meta Synthetic Wisdom
· Mind philosophy                                                    · Hybrid intelligence
· Essence of perception                                           · Mechanism of cognition
· Advanced learning                                                  · Evolution
· Logic theory for AI                                                · Mathematical theory for AI
· Factor Space Theory                                               · Attribute Theory Method