刘嘉
Tsinghua University Chair Professor of Sciences, Chief Scientist of Beijing Academy of ...
In recent years, fascinating progresses have been made in utilizing artificial intelligence to solve a broad range of problems, and many advances have been largely inspired by research of brain and cognitive sciences on biological brain. In our lab, we advocate further interactions between the fields of AI and cognitive neuroscience to benefit both fields.On one hand, there is great potential for cognitive neuroscience to benefit AI (cognitive-neuroscience-inspired AI). The structures and functions of neural systems, which result from hundreds of millions of years evolution, are optimized for animals processing information in order to survive in natural environments. They naturally serve as the resources inspiring us to develop next-generation AI.
event cognition - how people segment the continuous life stream into discrete subjectiv...
Psychometrics, diagnostic classification modeling, computerized adaptive testing, langu...
Leveraging machine learning methodology to make scientific discoveries in cognitive sci...
Reinforcement learning
Reinforcement learning and cognitive evolution
Leveled reading
Self organized critical state in brain and neural model of consciousness
Representation-based assessment on biological and artificial intelligence
AI+Psychometrics; Automatic text readability measure.
Reinforcement Learning and Evolutionary Algorithms
Psychometrics
reinforcement learning and computational model.
Neural representation in advanced cognition activities of AI and human brain