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AAAI 2023

Theory of Mind: A Familiar Aspect of Humanity to Give Machines

Short Paper AAAI Doctoral Consortium Track Artificial Intelligence

Abstract

My research focuses on machine models of theory of mind, a set of skills that helps humans cooperate with each other. Because these skills present themselves in behavior, inference-based measurements must be carefully designed to rule out alternate hypotheses. Producing models that display these skills requires an extensive understanding of experiences and mechanisms sufficient for learning, and the models must have robust generalization to be effective in varied domains. To address these problems, I intend to evaluate computational models of ToM using a variety of tests.

Authors

Keywords

  • Benchmark Testing
  • Cognitive Science
  • Machine Learning
  • Theory Of Mind

Context

Venue
AAAI Conference on Artificial Intelligence
Archive span
1980-2026
Indexed papers
28718
Paper id
204113586803152890