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Optimizing Epistemic Model Checking Using Conditional Independence (Extended Abstract)

Conference Paper Conference and Workshop Papers Artificial Intelligence ยท Logic in Computer Science

Abstract

This paper shows that conditional independence reasoning can be applied to optimize epistemic model checking, in which one verifies that a model for a number of agents operating with imperfect information satisfies a formula expressed in a modal multi-agent logic of knowledge. The optimization has been implemented in the epistemic model checker MCK. The paper reports experimental results demonstrating that it can yield multiple orders of magnitude performance improvements.

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Context

Venue
Conference on Theoretical Aspects of Rationality and Knowledge
Archive span
1986-2025
Indexed papers
500
Paper id
124953816060739892
v2026.09.13