J 2016

Expected Reachability-Time Games

FOREJT, Vojtěch, Marta KWIATKOWSKA, Gethin NORMAN and Ashutosh TRIVEDI

Basic information

Original name

Expected Reachability-Time Games

Authors

FOREJT, Vojtěch (203 Czech Republic, guarantor, belonging to the institution), Marta KWIATKOWSKA (826 United Kingdom of Great Britain and Northern Ireland), Gethin NORMAN (826 United Kingdom of Great Britain and Northern Ireland) and Ashutosh TRIVEDI (356 India)

Edition

Theoretical Computer Science, North Holland, 2016, 0304-3975

Other information

Language

English

Type of outcome

Článek v odborném periodiku

Field of Study

10201 Computer sciences, information science, bioinformatics

Country of publisher

Netherlands

Confidentiality degree

není předmětem státního či obchodního tajemství

Impact factor

Impact factor: 0.698

RIV identification code

RIV/00216224:14330/16:00094153

Organization unit

Faculty of Informatics

UT WoS

000377839900007

Keywords in English

stochastic systems; timed automata; games
Změněno: 27/4/2017 07:17, RNDr. Pavel Šmerk, Ph.D.

Abstract

V originále

Probabilistic timed automata are a suitable formalism to model systems with real-time, nondeterministic and probabilistic behaviour. We study two-player zero-sum games on such automata where the objective of the game is specified as the expected time to reach a target. The two players---called player Min and player Max---compete by proposing timed moves simultaneously and the move with a shorter delay is performed. The first player attempts to minimise the given objective while the second tries to maximise the objective. We observe that these games are not determined, and study decision problems related to computing the upper and lower values, showing that the problems are decidable and lie in the complexity class NEXPTIME intersection co-NEXPTIME.

Links

MUNI/33/IP1/2016, interní kód MU
Name: Podpora perspektivních výzkumných týmů Fakulty informatiky a vynikajících vědeckých pracovníků z jiných institucí působících na Fakultě informatiky (Acronym: PVT-VVPZ)
Investor: Masaryk University