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

Authors

  • Joel Michelson Vanderbilt University

DOI:

https://doi.org/10.1609/aaai.v37i13.26923

Keywords:

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

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.

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Published

2023-09-06

How to Cite

Michelson, J. (2023). Theory of Mind: A Familiar Aspect of Humanity to Give Machines. Proceedings of the AAAI Conference on Artificial Intelligence, 37(13), 16125-16126. https://doi.org/10.1609/aaai.v37i13.26923