{"department":[{"_id":"KrCh"}],"alternative_title":["LNCS"],"quality_controlled":"1","doi":"10.1007/978-3-642-54830-7_16","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","volume":8412,"year":"2014","main_file_link":[{"open_access":"1","url":"http://arxiv.org/abs/1401.3289"}],"date_updated":"2023-02-23T12:24:58Z","ec_funded":1,"oa":1,"day":"01","external_id":{"arxiv":["1401.3289"]},"publication_status":"published","status":"public","author":[{"orcid":"0000-0002-4561-241X","id":"2E5DCA20-F248-11E8-B48F-1D18A9856A87","last_name":"Chatterjee","first_name":"Krishnendu","full_name":"Chatterjee, Krishnendu"},{"first_name":"Laurent","full_name":"Doyen, Laurent","last_name":"Doyen"},{"last_name":"Nain","full_name":"Nain, Sumit","first_name":"Sumit"},{"first_name":"Moshe","full_name":"Vardi, Moshe","last_name":"Vardi"}],"arxiv":1,"citation":{"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","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.","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.","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.","short":"K. Chatterjee, L. Doyen, S. Nain, M. Vardi, in:, Springer, 2014, pp. 242–257.","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"},"publist_id":"4757","intvolume":" 8412","_id":"2213","conference":{"name":"FoSSaCS: Foundations of Software Science and Computation Structures","location":"Grenoble, France","end_date":"2014-04-13","start_date":"2014-04-05"},"title":"The complexity of partial-observation stochastic parity games with finite-memory strategies","scopus_import":1,"project":[{"name":"Modern Graph Algorithmic Techniques in Formal Verification","grant_number":"P 23499-N23","call_identifier":"FWF","_id":"2584A770-B435-11E9-9278-68D0E5697425"},{"name":"Game Theory","grant_number":"S11407","call_identifier":"FWF","_id":"25863FF4-B435-11E9-9278-68D0E5697425"},{"_id":"2581B60A-B435-11E9-9278-68D0E5697425","grant_number":"279307","call_identifier":"FP7","name":"Quantitative Graph Games: Theory and Applications"},{"_id":"2587B514-B435-11E9-9278-68D0E5697425","name":"Microsoft Research Faculty Fellowship"}],"date_published":"2014-04-01T00:00:00Z","language":[{"iso":"eng"}],"related_material":{"record":[{"relation":"earlier_version","id":"5408","status":"public"}]},"type":"conference","publisher":"Springer","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.","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"}],"month":"04","page":"242 - 257","oa_version":"Preprint","date_created":"2018-12-11T11:56:21Z"}