Action Language mA* with Higher-Order Action Observability

This paper presents a novel semantics for the mA* epistemic action language that takes into consideration dynamic per-agent observability of events. Different from the original mA* semantics, the observability of events is defined locally at the level of possible worlds, giving a new method for compiling event models. Locally defined observability represents agents' uncertainty and false-beliefs about each others' ability to observe events. This allows for modeling second-order false-belief tasks where one agent does not know the truth about another agent's observations and resultant beliefs. The paper presents detailed constructions of event models for ontic, sensing, and truthful announcement action occurrences and proves various properties relating to agents' beliefs after the execution of an action. It also shows that the proposed approach can model second order false-belief tasks and satisfies the robustness and faithfulness criteria discussed by Bolander (2018, https://doi.org/10. 1007/978-3-319-62864-6_8).

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Published
2024-10-26
DOI
https://doi.org/10.24963/kr.2024/20
Primary Topic
Multi-Agent Systems and Negotiation
Type
article
Field-Weighted Citation Impact
0.00

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article

Action Language mA* with Higher-Order Action Observability

Francesco Fabiano, Matthias Scheutz, David Buckingham, Tran Cao Son
Multi-Agent Systems and Negotiation
article

Action Language mA* with Higher-Order Action Observability

Francesco Fabiano, Matthias Scheutz, David Buckingham, Tran Cao Son
article en

Abstract

This paper presents a novel semantics for the mA* epistemic action language that takes into consideration dynamic per-agent observability of events. Different from the original mA* semantics, the observability of events is defined locally at the level of possible worlds, giving a new method for compiling event models. Locally defined observability represents agents' uncertainty and false-beliefs about each others' ability to observe events. This allows for modeling second-order false-belief tasks where one agent does not know the truth about another agent's observations and resultant beliefs. The paper presents detailed constructions of event models for ontic, sensing, and truthful announcement action occurrences and proves various properties relating to agents' beliefs after the execution of an action. It also shows that the proposed approach can model second order false-belief tasks and satisfies the robustness and faithfulness criteria discussed by Bolander (2018, https://doi.org/10. 1007/978-3-319-62864-6_8).

New Mexico State University (US), Tufts University (US)
National Science Foundation, Army Research Office
Openalex Percentile: Top 83%
Multi-Agent Systems and Negotiation
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