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