Towards a Graphical Cognitive Architecture for Virtual Humans (and Intelligent Agents/Robots)
Paul S. Rosenbloom
University of Southern California
Thursday, April 26, 2012|
1:00pm - 2:30pm
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About the Event
A cognitive architecture provides a hypothesis about the fixed structure (and its integration) underlying intelligent behavior, whether in natural or artificial systems. The overall goal of this effort is to leverage graphical models - with their ability to uniformly yield state-of-the-art algorithms across symbol, probability and signal processing - in developing a new architecture that goes significantly beyond today's best in providing, and tightly integrating together, the capabilities required for virtual humans (and intelligent agents/robots). The current focus is on a graphical mixed (i.e., statistical relational) architecture that supports hybrid processing through its grounding in a continuous representation. Aspects of memory, problem solving, perception, imagery, learning and natural language have been demonstrated to date in this architecture, although some are still mere beginnings. The talk will introduce the desiderata for this graphical architecture, explain the basics of its operation, and highlight progress on some of these capabilities.
Paul S. Rosenbloom is a Professor of Computer Science at the University of Southern California (USC) and a Project Leader at USC's Institute for Creative Technologies. He spent twenty years at USC's Information Sciences Institute, including a decade leading new directions and a stint as Deputy Director. Earlier he was an Assistant Professor of Computer Science and Psychology at Stanford University, and a Research Computer Scientist at Carnegie Mellon University. He received his B.S. in Mathematical Sciences (with distinction) from Stanford University and his M.S. and Ph.D. in Computer Science from Carnegie Mellon University. He is a Fellow of the Association for the Advancement of Artificial Intelligence (AAAI). Prof. Rosenbloom's research focuses on cognitive architectures; he was a co-PI of the Soar Project for fifteen years, and is currently developing a new approach based on graphical models. He has also been working to understand the nature and structure of computing as a scientific domain.
Open to: Public