Topic: social reasoning

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.