Predictive Theory of Mind Models Based on Public Announcement Logic

Conference Paper (2024)
Author(s)

Jakob Dirk Top (Rijksuniversiteit Groningen)

C.M. Jonker (TU Delft - Interactive Intelligence, Universiteit Leiden)

Rineke Verbrugge (Rijksuniversiteit Groningen)

H van de Weerd (Rijksuniversiteit Groningen)

Research Group
Interactive Intelligence
Copyright
© 2024 Jakob Dirk Top, C.M. Jonker, Rineke Verbrugge, Harmen de Weerd
DOI related publication
https://doi.org/10.1007/978-3-031-51777-8_6
More Info
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Publication Year
2024
Language
English
Copyright
© 2024 Jakob Dirk Top, C.M. Jonker, Rineke Verbrugge, Harmen de Weerd
Research Group
Interactive Intelligence
Bibliographical Note
Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public. @en
Pages (from-to)
85-103
ISBN (print)
978-3-031-5177-6-1
ISBN (electronic)
978-3-031-51777-8
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Abstract

Epistemic logic can be used to reason about statements such as ‘I know that you know that I know that φ ’. In this logic, and its extensions, it is commonly assumed that agents can reason about epistemic statements of arbitrary nesting depth. In contrast, empirical findings on Theory of Mind, the ability to (recursively) reason about mental states of others, show that human recursive reasoning capability has an upper bound. In the present paper we work towards resolving this disparity by proposing some elements of a logic of bounded Theory of Mind, built on Public Announcement Logic. Using this logic, and a statistical method called Random-Effects Bayesian Model Selection, we estimate the distribution of Theory of Mind levels in the participant population of a previous behavioral experiment. Despite not modeling stochastic behavior, we find that approximately three-quarters of participants’ decisions can be described using Theory of Mind. In contrast to previous empirical research, our models estimate the majority of participants to be second-order Theory of Mind users.

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