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SUMMARY:Cooperative Minds and Machines - Max Kleiman-Weiner\; University o
 f Washington
DTSTART:20250220T180000Z
DTEND:20250220T190000Z
UID:TALK228676@talks.cam.ac.uk
CONTACT:Zhonghao He
DESCRIPTION:Human cooperation is distinctly powerful. We collaborate with 
 others to accomplish together what none of us could do on our own\, share 
 the benefits fairly\, and trust others to do the same. These abilities are
  unparalleled in other animal species and are lacking in our most sophisti
 cated artificial intelligence. What cognitive processes underlie our socia
 l intelligence\, and how do these distinct abilities contribute to the sca
 le and scope of human cooperation? How can this knowledge be used to desig
 n cooperative artificial intelligence that is equally capable of interacti
 ng with people? I will present a computational framework based on integrat
 ing individually rational\, hierarchical Bayesian models of learning toget
 her with socially rational\, game-theoretic models of cooperation. In comp
 utational models and multiplayer experiments\, I will show how this framew
 ork can explain how cooperative behavior is generalized: inferring the int
 entions and reputations of others\, distinguishing friend and foe\, and co
 ordinating with AI agents and people.
LOCATION:ITH Boardroom\, 16 Mill Lane\, 2nd floor.
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