Accession Number:

ADA537574

Title:

Help or Hinder: Bayesian Models of Social Goal Inference

Descriptive Note:

Conference paper

Corporate Author:

MASSACHUSETTS INST OF TECH CAMBRIDGE DEPT OF BRAIN AND COGNITIVE SCIENCES

Report Date:

2009-01-01

Pagination or Media Count:

11.0

Abstract:

Everyday social interactions are heavily influenced by our snap judgments about others goals. Even young infants can infer the goals of intentional agents from observing how they interact with objects and other agents in their environment e.g., that one agent is helping or hindering anothers attempt to get up a hill or open a box. We propose a model for how people can infer these social goals from actions, based on inverse planning in multiagent Markov decision problems MDPs. The model infers the goal most likely to be driving an agents behavior by assuming the agent acts approximately rationally given environmental constraints and its model of other agents present. We also present behavioral evidence in support of this model over a simpler, perceptual cue-based alternative.

Subject Categories:

  • Psychology
  • Numerical Mathematics
  • Non-Radio Communications

Distribution Statement:

APPROVED FOR PUBLIC RELEASE