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Multi-Objective Model Checking of Markov Decision Processes

Kousha Etessami ; Marta Kwiatkowska ; Moshe Y. Vardi ; Mihalis Yannakakis.

We study and provide efficient algorithms for multi-objective model checking problems for Markov Decision Processes (MDPs). Given an MDP, M, and given multiple linear-time (\omega -regular or LTL) properties \varphi\_i, and probabilities r\_i \epsilon [0,1], i=1,...,k, we ask whether there exists a&nbsp;[&hellip;]

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The Complexity of Enriched Mu-Calculi

Piero A. Bonatti ; Carsten Lutz ; Aniello Murano ; Moshe Y. Vardi.

The fully enriched &mu;-calculus is the extension of the propositional &mu;-calculus with inverse programs, graded modalities, and nominals. While satisfiability in several expressive fragments of the fully enriched &mu;-calculus is known to be decidable and ExpTime-complete, it has recently been&nbsp;[&hellip;]

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