32 min
Social World Models
Artificial Intelligence, Cognition and seminar by Paul Liang, MIT
Friday 13:30 Los Angeles (GMT-7)
Recording available
Berkeley, United States
Recording
Abstract
Social world models extend prediction beyond physical dynamics to the intentions, beliefs and strategies of interacting agents. This talk examines how such representations can be learned and used in socially capable AI. Examples include multimodal models of behaviour, benchmarks for social reasoning and agents that adapt over extended interactions.
Topics
physical dynamicsintentionsbeliefsstrategiesinteracting agentssocially capable AImultimodal models of behavioursocial reasoningextended interactions