Abstract
Drawing upon philosophical and other theoretical analysis of rationality, intelligence, and AI models, this talk will analyze a specific line of computational work --- the development of a neural-symbolic computational cognitive architecture. It discusses issues that concern different types of rationality, different conceptions of intelligence, essence of human activities, roles of motivation, and so on, all within the context of the cognitive architecture. Based on the discussion, it argues that recent computational models are more advanced than often assumed, and they are capable of addressing many objections to the AI of yesteryear.

Speaker

Ron Sun is Professor and Department Head of Cognitive Science at Rensselaer Polytechnic Institute. His research interests center around the study of cognition. He published many papers in these areas, as well as 12 books. He received the 1991 David Marr Award from the Cognitive Science Society, and the 2008 Hebb Award from the International Neural Networks Society. He served as President of the INNS during 2011 and 2012. He is a Fellow of IEEE, APS, and other organizations