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DTSTART;TZID=America/New_York:20241108T103000
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CREATED:20241031T150426Z
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SUMMARY:Belief transport: The mathematical theory of learning agents
DESCRIPTION:Abstract:  Learning agents\, which include humans and (ideally) AI agents\, take action in the world and learn from the outcomes. I will present our recent efforts toward an integrated theory of learning agents that span learning\, planning\, and social reasoning. The talk will focus on cooperative communication as an extended case study\, and suggest directions\, implications\, and limitations of the proposed approach.  \n\n\n\nBio: Dr. Patrick Shafto is Professor of Mathematics and Computer Science at Rutgers University – Newark and Program Manager at DARPA’s I2O office. He spent the previous two years as Member of the School of Mathematics at the Institute for Advanced Study. Research in his lab focuses on mathematical foundations of learning in humans and machines. He has received honors and awards including an NSF CAREER award\, chair in Data Science\, and outstanding reviewer awards at NeurIPS and ICML. His research has been supported by NSF (EHR\, CISE\, SBE)\, DARPA\, DoD\, NIH\, and the intelligence community and is a fellow of the Cognitive Science Society.  \n\n\n\nLight breakfast will be served.
URL:https://njbda.org/event/belief-transport-the-mathematical-theory-of-learning-agents/
LOCATION:Princeton University Press\, 41 William St\, Princeton\, New Jersey\, United States
CATEGORIES:lectures/talks
ATTACH;FMTTYPE=image/jpeg:https://njbda.org/wp-content/uploads/2024/10/PatrickShafto.jpg
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