A Return to Artifical Intelligence

In recent years, more and more researchers think it is the time to return to the original goal of “Artificial Intelligence” (AI), that is, to build “thinking machines” that are as intelligent as human beings. To distinguish this kind of work from the conventional “AI research”, which has turned to specific problems in special domains, this emerging community calls itself “Artificial General Intelligence” (AGI). Dr. Pei Wang, an associate professor at Temple University, will briefly describe this field in non-technical language at 6:00 pm on Tuesday, April 7, at the Complex.

Dr. Wang received his PhD 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 project is NARS (Non-Axiomatic Reasoning System), a general-purpose reasoning system. The system can learn from its experience and work with insufficient knowledge and resources, and carry out many cognitive functions in a unified way. Dr. Wang is the Co-Chair of the Program Committee of the First Conference on Artificial General Intelligence, and the Chief Executive Editor of the Journal of Artificial General Intelligence.