Surveying Computational Theory of Mind and a Potential Multi-agent Approach

Author:

Kumar Prabhat,Raglin Adrienne,Richardson John

Publisher

Springer Nature Switzerland

Reference67 articles.

1. Alayrac, J.B., et al.: Flamingo: a visual language model for few-shot learning. In: Koyejo, S., Mohamed, S., Agarwal, A., Belgrave, D., Cho, K., Oh, A. (eds.) Advances in Neural Information Processing Systems. vol. 35, pp. 23716–23736. Curran Associates, Inc. (2022)

2. Aru, J., Labash, A., Corcoll, O., Vicente, R.: Mind the gap: challenges of deep learning approaches to theory of mind. Artif. Intell. Rev. 56, 1–16 (2023)

3. Baker, C., Saxe, R., Tenenbaum, J.: Bayesian theory of mind: modeling joint belief-desire attribution. In: Proceedings of the Annual Meeting of the Cognitive Science Society, vol. 33 (2011)

4. Baker, C.L.: Bayesian theory of mind: Modeling human reasoning about beliefs, desires, goals, and social relations. Ph.D. thesis, Massachusetts Institute of Technology (2012)

5. Baron-Cohen, S., Leslie, A.M., Frith, U.: Does the autistic child have a “theory of mind” ? Cognition 21(1), 37–46 (1985). https://doi.org/10.1016/0010-0277(85)90022-8

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