AAAI Publications, Twenty-Ninth AAAI Conference on Artificial Intelligence

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Exploring the KD45 Property of a Kripke Model After the Execution of an Action Sequence
Tran Cao Son, Enrico Pontelli, Chitta Baral, Gregory Gelfond

Last modified: 2015-02-18

Abstract


The paper proposes a condition for preserving the KD45 property of a Kripke model when a sequence of update models is applied to it. The paper defines the notions of a primitive update model and a semi-reflexive KD45 (or sr-KD45) Kripke model. It proves that updating a sr-KD45 Kripke model using a primitive update model results in a sr-KD45 Kripke model, i.e., a primitive update model preserves the properties of a sr-KD45 Kripke model. It shows that several update models for modeling well-known actions found in the literature are primitive. This result provides guarantees that can be useful in presence of multiple applications of actions in multi-agent system (e.g., multi-agent planning).

Keywords


Kripke model; update model; belief and knowledge

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