{"date_published":"2014-04-01T00:00:00Z","day":"01","ec_funded":1,"publisher":"Springer","year":"2014","language":[{"iso":"eng"}],"intvolume":"      8412","publist_id":"4758","oa_version":"None","title":"Perfect-information stochastic mean-payoff parity games","quality_controlled":"1","scopus_import":1,"date_created":"2018-12-11T11:56:21Z","month":"04","citation":{"ama":"Chatterjee K, Doyen L, Gimbert H, Oualhadj Y. Perfect-information stochastic mean-payoff parity games. In: Vol 8412. Springer; 2014:210-225. doi:<a href=\"https://doi.org/10.1007/978-3-642-54830-7_14\">10.1007/978-3-642-54830-7_14</a>","mla":"Chatterjee, Krishnendu, et al. <i>Perfect-Information Stochastic Mean-Payoff Parity Games</i>. Vol. 8412, Springer, 2014, pp. 210–25, doi:<a href=\"https://doi.org/10.1007/978-3-642-54830-7_14\">10.1007/978-3-642-54830-7_14</a>.","short":"K. Chatterjee, L. Doyen, H. Gimbert, Y. Oualhadj, in:, Springer, 2014, pp. 210–225.","ieee":"K. Chatterjee, L. Doyen, H. Gimbert, and Y. Oualhadj, “Perfect-information stochastic mean-payoff parity games,” presented at the FoSSaCS: Foundations of Software Science and Computation Structures, Grenoble, France, 2014, vol. 8412, pp. 210–225.","chicago":"Chatterjee, Krishnendu, Laurent Doyen, Hugo Gimbert, and Youssouf Oualhadj. “Perfect-Information Stochastic Mean-Payoff Parity Games,” 8412:210–25. Springer, 2014. <a href=\"https://doi.org/10.1007/978-3-642-54830-7_14\">https://doi.org/10.1007/978-3-642-54830-7_14</a>.","ista":"Chatterjee K, Doyen L, Gimbert H, Oualhadj Y. 2014. Perfect-information stochastic mean-payoff parity games. FoSSaCS: Foundations of Software Science and Computation Structures, LNCS, vol. 8412, 210–225.","apa":"Chatterjee, K., Doyen, L., Gimbert, H., &#38; Oualhadj, Y. (2014). Perfect-information stochastic mean-payoff parity games (Vol. 8412, pp. 210–225). Presented at the FoSSaCS: Foundations of Software Science and Computation Structures, Grenoble, France: Springer. <a href=\"https://doi.org/10.1007/978-3-642-54830-7_14\">https://doi.org/10.1007/978-3-642-54830-7_14</a>"},"acknowledgement":"This research was supported by European project Cassting (FP7-601148).\r\nA Technical Report of this paper is available at: \r\nhttps://repository.ist.ac.at/id/eprint/128.","department":[{"_id":"KrCh"}],"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","page":"210 - 225","status":"public","project":[{"call_identifier":"FWF","name":"Modern Graph Algorithmic Techniques in Formal Verification","_id":"2584A770-B435-11E9-9278-68D0E5697425","grant_number":"P 23499-N23"},{"name":"Game Theory","call_identifier":"FWF","grant_number":"S11407","_id":"25863FF4-B435-11E9-9278-68D0E5697425"},{"name":"Quantitative Graph Games: Theory and Applications","call_identifier":"FP7","_id":"2581B60A-B435-11E9-9278-68D0E5697425","grant_number":"279307"},{"_id":"2587B514-B435-11E9-9278-68D0E5697425","name":"Microsoft Research Faculty Fellowship"}],"type":"conference","volume":8412,"date_updated":"2023-02-23T12:24:50Z","abstract":[{"lang":"eng","text":"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). "}],"publication_status":"published","related_material":{"record":[{"relation":"earlier_version","status":"public","id":"5405"}]},"alternative_title":["LNCS"],"conference":{"name":"FoSSaCS: Foundations of Software Science and Computation Structures","location":"Grenoble, France","start_date":"2014-04-05","end_date":"2014-04-13"},"doi":"10.1007/978-3-642-54830-7_14","author":[{"last_name":"Chatterjee","id":"2E5DCA20-F248-11E8-B48F-1D18A9856A87","full_name":"Chatterjee, Krishnendu","first_name":"Krishnendu","orcid":"0000-0002-4561-241X"},{"last_name":"Doyen","full_name":"Doyen, Laurent","first_name":"Laurent"},{"last_name":"Gimbert","full_name":"Gimbert, Hugo","first_name":"Hugo"},{"last_name":"Oualhadj","full_name":"Oualhadj, Youssouf","first_name":"Youssouf"}],"_id":"2212"}