  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.
