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DTSTART;TZID=America/Los_Angeles:20191202T000000
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DTSTAMP:20260506T223140
CREATED:20200922T221048Z
LAST-MODIFIED:20201013T005110Z
UID:4435-1575244800-1575244800@bec.ucla.edu
SUMMARY:Max Kleiman-Weiner - Reverse Engineering Human Cooperation
DESCRIPTION:Max Kleiman-Weiner: Massachusetts Institute of TechnologyHuman cooperation is distinctly powerful. We collaborate with others to accomplish together what none of us could do on our own; we share the benefits of collaboration fairly and trust others to do the same. I seek to understand these everyday feats of social intelligence in computational terms. I will present a formal framework based on the integration of individually rational\, hierarchical Bayesian models of learning\, together with socially rational multi-agent and game-theoretic models of cooperation. First\, I investigate the evolutionary origins of the cognitive structures that enable cooperation through social learning. I then describe how these structures are used to learn social and moral knowledge rapidly during development. Finally I show how this knowledge is generalized in the moment\, across an infinitude of possible situations: inferring the intentions and reputations of others\, distinguishing who is friend or foe\, and learning a new moral value.
URL:https://bec.ucla.edu/event/max-kleiman-weiner-reverse-engineering-human-cooperation/
CATEGORIES:2019,Past Presentation,Presentation
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