11月10日美国天普大学计算机系王培教授讲座：Experience-Grounded Semantics and its relation with Intelligence and Embodiment
来源：会议讲座
作者：
时间：2011-11-09
时间：11月10日15:10-18:00
地点：文史楼215
TITLE: Experience-Grounded Semantics and its relation with Intelligence and Embodiment
ABSTRACT: For reasoning systems working with insufficient knowledge and resources, conventional Model-Theoretic Semantics and its variants run into trouble. A new approach, Experience-Grounded Semantics, is introduced, in which "truth-value" and "meaning" are defined according to the system's experience. This approach has many novel properties and important implications.
BIO: Dr. Pei Wang is an Associate Professor at Temple University. He received his Ph.D. in Computer Science and Cognitive Science from Indiana University, and his M.S. and B.S. in Computer Science, both from Peking University. His research interests include artificial intelligence and cognitive science, especially on unified theories of intelligence, formal models of rationality, reasoning under uncertainty, learning and adaptation, knowledge representation, and real-time decision making. Dr. Wang is the Chief Executive Editor of the Journal of Artificial General Intelligence.
地点：文史楼215
TITLE: Experience-Grounded Semantics and its relation with Intelligence and Embodiment
ABSTRACT: For reasoning systems working with insufficient knowledge and resources, conventional Model-Theoretic Semantics and its variants run into trouble. A new approach, Experience-Grounded Semantics, is introduced, in which "truth-value" and "meaning" are defined according to the system's experience. This approach has many novel properties and important implications.
BIO: Dr. Pei Wang is an Associate Professor at Temple University. He received his Ph.D. in Computer Science and Cognitive Science from Indiana University, and his M.S. and B.S. in Computer Science, both from Peking University. His research interests include artificial intelligence and cognitive science, especially on unified theories of intelligence, formal models of rationality, reasoning under uncertainty, learning and adaptation, knowledge representation, and real-time decision making. Dr. Wang is the Chief Executive Editor of the Journal of Artificial General Intelligence.