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Probabilistic Reasoning About Epistemic Action Narratives

D'Asaro, F; Bikakis, A; Dickens, L; Miller, R; (2020) Probabilistic Reasoning About Epistemic Action Narratives. Artificial Intelligence , 287 , Article 103352. 10.1016/j.artint.2020.103352. Green open access

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Abstract

We propose the action language EPEC – Epistemic Probabilistic Event Calculus – that supports probabilistic, epistemic reasoning about narratives of action occurrences and environmentally triggered events, and in particular facilitates reasoning about future belief-conditioned actions and their consequences in domains that include both perfect and imperfect sensing actions. To provide a declarative semantics for sensing and belief conditioned actions in a probabilistic, narrative setting we introduce the novel concept of an epistemic reduct. We then formally compare our language with two established frameworks for probabilistic reasoning about action – the action language PAL by Baral et al., and the extension of the situation calculus to reason about noisy sensors and effectors by Bacchus et al. In both cases we prove a correspondence with EPEC for a class of domains representable in both frameworks.

Type: Article
Title: Probabilistic Reasoning About Epistemic Action Narratives
Open access status: An open access version is available from UCL Discovery
DOI: 10.1016/j.artint.2020.103352
Publisher version: https://doi.org/10.1016/j.artint.2020.103352
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL SLASH
UCL > Provost and Vice Provost Offices > UCL SLASH > Faculty of Arts and Humanities
UCL > Provost and Vice Provost Offices > UCL SLASH > Faculty of Arts and Humanities > Dept of Information Studies
URI: https://discovery.ucl.ac.uk/id/eprint/10102858
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