A Probabilistic Finite Temporal Logic for Policies and Intentions

Nima Motamed, Natasha Alechina, Mehdi Dastani, Dragan Doder

Research output: Chapter in Book/Report/Conference proceedingConference Article in proceedingAcademicpeer-review

Abstract

We propose a new probabilistic temporal logic for Markov decision
processes allowing us to reason about finite histories and policies.
We comment on how the logic can express statements important
for a theory of intention revision, show that it possesses the finite
model property, and show that the model checking and satisfiability
problems for the logic are both decidable.
Original languageEnglish
Title of host publicationInternational Workshop on Logical Aspects in Multi-Agent Systems and Strategic Reasoning 2022 (LAMAS & SR 2022), 25/08/22
Publication statusPublished - 1 Aug 2022
Externally publishedYes

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