@COMMENT This file was generated by bib2html.pl <https://sourceforge.net/projects/bib2html/> version 0.94
@COMMENT written by Patrick Riley <http://sourceforge.net/users/patstg/>
@article{erdogan2025toma,
  title={TOMA: Computational Theory of Mind with Abstractions for Hybrid Intelligence},
  author={Erdogan, Emre and Dignum, Frank and Verbrugge, Rineke and Yolum, Pinar},
  journal={Journal of Artificial Intelligence Research},
  volume={82},
  pages={285--311},
  year={2025},
  doi={10.1613/jair.1.16402},
  abstract = "Theory of mind refers to the human ability to reason about the mental content of other people,
such as their beliefs, desires, and goals. People use their theory of mind to understand, reason about,
and explain the behaviour of others. Having a theory of mind is especially useful when people
collaborate, since individuals can then reason on what the other individual knows as well as what
reasoning they might do. Similarly, hybrid intelligence systems, where AI agents collaborate with
humans, necessitate that the agents reason about the humans using computational theory of mind.
However, to try to keep track of all individual mental attitudes of all other individuals becomes
(computationally) very difficult. Accordingly, this paper provides a mechanism for computational
theory of mind based on abstractions of single beliefs into higher-level concepts. These abstractions
can be triggered by social norms and roles. Their use in decision making serves as a heuristic to
choose among interactions, thus facilitating collaboration. We provide a formalization based on
epistemic logic to explain how various inferences enable such a computational theory of mind.
Using examples from the medical domain, we demonstrate how having such a theory of mind
enables an agent to interact with humans effectively and can increase the quality of the decisions
humans make.",
      bib2html_rescat = {Theory of Mind},
    bib2html_dl_pdf ="papers/toma-2025.pdf"
}