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   	<dc:title>Perfect-information stochastic mean-payoff parity games</dc:title>
   	<dc:title>LNCS</dc:title>
   	<dc:creator>Chatterjee, Krishnendu ; https://orcid.org/0000-0002-4561-241X</dc:creator>
   	<dc:creator>Doyen, Laurent</dc:creator>
   	<dc:creator>Gimbert, Hugo</dc:creator>
   	<dc:creator>Oualhadj, Youssouf</dc:creator>
   	<dc:description>The theory of graph games is the foundation for modeling and synthesizing reactive processes. In the synthesis of stochastic processes, we use 2 1/2-player games where some transitions of the game graph are controlled by two adversarial players, the System and the Environment, and the other transitions are determined probabilistically. We consider 2 1/2-player games where the objective of the System is the conjunction of a qualitative objective (specified as a parity condition) and a quantitative objective (specified as a mean-payoff condition). We establish that the problem of deciding whether the System can ensure that the probability to satisfy the mean-payoff parity objective is at least a given threshold is in NP ∩ coNP, matching the best known bound in the special case of 2-player games (where all transitions are deterministic). We present an algorithm running in time O(d·n2d·MeanGame) to compute the set of almost-sure winning states from which the objective can be ensured with probability 1, where n is the number of states of the game, d the number of priorities of the parity objective, and MeanGame is the complexity to compute the set of almost-sure winning states in 2 1/2-player mean-payoff games. Our results are useful in the synthesis of stochastic reactive systems with both functional requirement (given as a qualitative objective) and performance requirement (given as a quantitative objective). </dc:description>
   	<dc:publisher>Springer</dc:publisher>
   	<dc:date>2014</dc:date>
   	<dc:type>info:eu-repo/semantics/conferenceObject</dc:type>
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   	<dc:type>text</dc:type>
   	<dc:type>http://purl.org/coar/resource_type/c_5794</dc:type>
   	<dc:identifier>https://research-explorer.ista.ac.at/record/2212</dc:identifier>
   	<dc:source>Chatterjee K, Doyen L, Gimbert H, Oualhadj Y. Perfect-information stochastic mean-payoff parity games. In: Vol 8412. Springer; 2014:210-225. doi:&lt;a href=&quot;https://doi.org/10.1007/978-3-642-54830-7_14&quot;&gt;10.1007/978-3-642-54830-7_14&lt;/a&gt;</dc:source>
   	<dc:language>eng</dc:language>
   	<dc:relation>info:eu-repo/semantics/altIdentifier/doi/10.1007/978-3-642-54830-7_14</dc:relation>
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