KUČERA, Antonín. On the Existence and Computability of Long-Run Average Properties in Probabilistic VASS. In Adrian Kosowski, Igor Walukiewicz. Fundamentals of Computation Theory - 20th International Symposium, FCT 2015, Gdańsk, Poland, August 17-19, 2015, Proceedings. Heidelberg: Springer, 2015, p. 12-24. ISBN 978-3-319-22176-2. Available from: https://dx.doi.org/10.1007/978-3-319-22177-9_2.
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Basic information
Original name On the Existence and Computability of Long-Run Average Properties in Probabilistic VASS
Authors KUČERA, Antonín (203 Czech Republic, guarantor, belonging to the institution).
Edition Heidelberg, Fundamentals of Computation Theory - 20th International Symposium, FCT 2015, Gdańsk, Poland, August 17-19, 2015, Proceedings. p. 12-24, 13 pp. 2015.
Publisher Springer
Other information
Original language English
Type of outcome Proceedings paper
Field of Study 10201 Computer sciences, information science, bioinformatics
Country of publisher Germany
Confidentiality degree is not subject to a state or trade secret
Publication form printed version "print"
Impact factor Impact factor: 0.402 in 2005
RIV identification code RIV/00216224:14330/15:00081424
Organization unit Faculty of Informatics
ISBN 978-3-319-22176-2
ISSN 0302-9743
Doi http://dx.doi.org/10.1007/978-3-319-22177-9_2
Keywords in English Vector Addition Systems; Markov chains
Tags International impact, Reviewed
Changed by Changed by: RNDr. Pavel Šmerk, Ph.D., učo 3880. Changed: 28/4/2016 15:34.
Abstract
We present recent results about the long-run average properties of probabilistic vector additions systems with states (pVASS). Interestingly, for probabilistic pVASS with two or more counters, long-run average properties may take several different values with positive probability even if the underlying state space is strongly connected. This contradics the previous results about stochastic Petri nets established in 80s. For pVASS with three or more counters, it may even happen that the long-run average properties are undefined (i.e., the corresponding limits do not exist) for almost all runs, and this phenomenon is stable under small perturbations in transition probabilities. On the other hand, one can effectively approximate eligible values of long-run average properties and the corresponding probabilities for some sublasses of pVASS. These results are based on new exponential tail bounds achieved by designing and analyzing appropriate martingales. The paper focuses on explaining the main underlying ideas.
Links
GA15-17564S, research and development projectName: Teorie her jako prostředek pro formální analýzu a verifikaci počítačových systémů
Investor: Czech Science Foundation
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