{"ec_funded":1,"publisher":"Springer","year":"2014","day":"01","date_published":"2014-04-01T00:00:00Z","publist_id":"4757","intvolume":" 8412","language":[{"iso":"eng"}],"main_file_link":[{"open_access":"1","url":"http://arxiv.org/abs/1401.3289"}],"title":"The complexity of partial-observation stochastic parity games with finite-memory strategies","scopus_import":1,"quality_controlled":"1","oa_version":"Preprint","department":[{"_id":"KrCh"}],"acknowledgement":"This research was supported by European project Cassting (FP7-601148), NSF grants CNS 1049862 and CCF-1139011, by NSF Expe ditions in Computing project “ExCAPE: Expeditions in Computer Augmented Program Engineering”, by BSF grant 9800096, and by gift from Intel.","citation":{"ama":"Chatterjee K, Doyen L, Nain S, Vardi M. The complexity of partial-observation stochastic parity games with finite-memory strategies. In: Vol 8412. Springer; 2014:242-257. doi:10.1007/978-3-642-54830-7_16","mla":"Chatterjee, Krishnendu, et al. The Complexity of Partial-Observation Stochastic Parity Games with Finite-Memory Strategies. Vol. 8412, Springer, 2014, pp. 242–57, doi:10.1007/978-3-642-54830-7_16.","short":"K. Chatterjee, L. Doyen, S. Nain, M. Vardi, in:, Springer, 2014, pp. 242–257.","ieee":"K. Chatterjee, L. Doyen, S. Nain, and M. Vardi, “The complexity of partial-observation stochastic parity games with finite-memory strategies,” presented at the FoSSaCS: Foundations of Software Science and Computation Structures, Grenoble, France, 2014, vol. 8412, pp. 242–257.","chicago":"Chatterjee, Krishnendu, Laurent Doyen, Sumit Nain, and Moshe Vardi. “The Complexity of Partial-Observation Stochastic Parity Games with Finite-Memory Strategies,” 8412:242–57. Springer, 2014. https://doi.org/10.1007/978-3-642-54830-7_16.","ista":"Chatterjee K, Doyen L, Nain S, Vardi M. 2014. The complexity of partial-observation stochastic parity games with finite-memory strategies. FoSSaCS: Foundations of Software Science and Computation Structures, LNCS, vol. 8412, 242–257.","apa":"Chatterjee, K., Doyen, L., Nain, S., & Vardi, M. (2014). The complexity of partial-observation stochastic parity games with finite-memory strategies (Vol. 8412, pp. 242–257). Presented at the FoSSaCS: Foundations of Software Science and Computation Structures, Grenoble, France: Springer. https://doi.org/10.1007/978-3-642-54830-7_16"},"date_created":"2018-12-11T11:56:21Z","month":"04","page":"242 - 257","status":"public","project":[{"_id":"2584A770-B435-11E9-9278-68D0E5697425","grant_number":"P 23499-N23","name":"Modern Graph Algorithmic Techniques in Formal Verification","call_identifier":"FWF"},{"grant_number":"S11407","_id":"25863FF4-B435-11E9-9278-68D0E5697425","call_identifier":"FWF","name":"Game Theory"},{"_id":"2581B60A-B435-11E9-9278-68D0E5697425","grant_number":"279307","name":"Quantitative Graph Games: Theory and Applications","call_identifier":"FP7"},{"name":"Microsoft Research Faculty Fellowship","_id":"2587B514-B435-11E9-9278-68D0E5697425"}],"external_id":{"arxiv":["1401.3289"]},"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","oa":1,"volume":8412,"date_updated":"2023-02-23T12:24:58Z","type":"conference","conference":{"start_date":"2014-04-05","end_date":"2014-04-13","name":"FoSSaCS: Foundations of Software Science and Computation Structures","location":"Grenoble, France"},"doi":"10.1007/978-3-642-54830-7_16","author":[{"full_name":"Chatterjee, Krishnendu","first_name":"Krishnendu","orcid":"0000-0002-4561-241X","last_name":"Chatterjee","id":"2E5DCA20-F248-11E8-B48F-1D18A9856A87"},{"first_name":"Laurent","full_name":"Doyen, Laurent","last_name":"Doyen"},{"last_name":"Nain","first_name":"Sumit","full_name":"Nain, Sumit"},{"first_name":"Moshe","full_name":"Vardi, Moshe","last_name":"Vardi"}],"_id":"2213","alternative_title":["LNCS"],"related_material":{"record":[{"status":"public","id":"5408","relation":"earlier_version"}]},"publication_status":"published","abstract":[{"text":"We consider two-player partial-observation stochastic games on finitestate graphs where player 1 has partial observation and player 2 has perfect observation. The winning condition we study are ε-regular conditions specified as parity objectives. The qualitative-analysis problem given a partial-observation stochastic game and a parity objective asks whether there is a strategy to ensure that the objective is satisfied with probability 1 (resp. positive probability). These qualitative-analysis problems are known to be undecidable. However in many applications the relevant question is the existence of finite-memory strategies, and the qualitative-analysis problems under finite-memory strategies was recently shown to be decidable in 2EXPTIME.We improve the complexity and show that the qualitative-analysis problems for partial-observation stochastic parity games under finite-memory strategies are EXPTIME-complete; and also establish optimal (exponential) memory bounds for finite-memory strategies required for qualitative analysis.","lang":"eng"}]}