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Inference of the Intentions of Unknown Agents in a Theory of Mind Setting

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Advances in Practical Applications of Agents, Multi-Agent Systems, and Social Good. The PAAMS Collection (PAAMS 2021)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 12946))

Abstract

Autonomous agents may be required to form an understanding of other agents for which they don’t possess a model. In such cases, they must rely on their previously gathered knowledge of agents, and ground the observed behaviors in the models this knowledge describes by theory of mind reasoning. To give flesh to this process, in this paper we propose an algorithm to ground observations on a combination of priorly possessed Belief-Desire-Intention models, while using rationality to infer unobservable variables. This allows to jointly infer beliefs, goals and intentions of an unknown observed agent by using only available models.

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Authors and Affiliations

  1. Department of Computing Science, Umeå University, Umeå, Sweden

    Michele Persiani & Thomas Hellström

Authors
  1. Michele Persiani
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  2. Thomas Hellström
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Corresponding authors

Correspondence to Michele Persiani or Thomas Hellström .

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Editors and Affiliations

  1. Umeå University, Umeå, Sweden

    Frank Dignum

  2. Universidad de Salamanca, Salamanca, Salamanca, Spain

    Juan Manuel Corchado

  3. University of Salamanca, Salamanca, Spain

    Fernando De La Prieta

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Persiani, M., Hellström, T. (2021). Inference of the Intentions of Unknown Agents in a Theory of Mind Setting. In: Dignum, F., Corchado, J.M., De La Prieta, F. (eds) Advances in Practical Applications of Agents, Multi-Agent Systems, and Social Good. The PAAMS Collection. PAAMS 2021. Lecture Notes in Computer Science(), vol 12946. Springer, Cham. https://doi.org/10.1007/978-3-030-85739-4_16

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  • DOI: https://doi.org/10.1007/978-3-030-85739-4_16

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-85738-7

  • Online ISBN: 978-3-030-85739-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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