CogToM: A Cognitive Architecture Implementation of the Theory of Mind

Fabio Grassiotto, Paula Costa

Abstract

Mind-blindness, a typical trait of autism, is the inability of an individual to attribute mental states to others. This cognitive divergence prevents the proper interpretation of the intentions and the beliefs of other individuals in a given scenario, typically resulting in social interaction problems. In this work, we propose CogToM, a novel cognitive architecture designed to process the output of computer systems and to reason according to the Theory of Mind. In particular, we present a computational implementation for the psychological model of the Theory of Mind proposed by Baron-Cohen and we explore the usefulness of the concepts of Affordances and Intention Detection to augmenting the effectiveness of the proposed architecture. We verify the results by evaluating both a canonical false-belief and a number of the Facebook bAbI dataset tasks.

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Paper Citation


in Harvard Style

Grassiotto F. and Costa P. (2021). CogToM: A Cognitive Architecture Implementation of the Theory of Mind.In Proceedings of the 13th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART, ISBN 978-989-758-484-8, pages 546-553. DOI: 10.5220/0010194205460553


in Bibtex Style

@conference{icaart21,
author={Fabio Grassiotto and Paula Costa},
title={CogToM: A Cognitive Architecture Implementation of the Theory of Mind},
booktitle={Proceedings of the 13th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,},
year={2021},
pages={546-553},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010194205460553},
isbn={978-989-758-484-8},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 13th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,
TI - CogToM: A Cognitive Architecture Implementation of the Theory of Mind
SN - 978-989-758-484-8
AU - Grassiotto F.
AU - Costa P.
PY - 2021
SP - 546
EP - 553
DO - 10.5220/0010194205460553