Regular Strategies and Strategy Improvement: Efficient Tools for Solving Large Patrolling Problems
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F16%3A00088484" target="_blank" >RIV/00216224:14330/16:00088484 - isvavai.cz</a>
Result on the web
<a href="http://dl.acm.org/citation.cfm?id=2937095" target="_blank" >http://dl.acm.org/citation.cfm?id=2937095</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Regular Strategies and Strategy Improvement: Efficient Tools for Solving Large Patrolling Problems
Original language description
In patrolling problems, the task is to compute an optimal strategy for a patroller who moves among vulnerable targets and aims at detecting possible intrusions. Previous approaches to this problem utilize non-linear programming to synthesize (sub)optimal patroller's strategies, which has a negative impact on their scalability. Further, the solution space is usually restricted to positional strategies or to strategies dependent on a bounded history of patroller's moves. In this paper we introduce regular strategies that utilize deterministic finite-state automata to collect some information about the whole history of patroller's moves, and show that regular strategies are strictly more powerful than strategies dependent on a bounded history. Further, we design a strategy improvement technique for regular strategies which completely avoids solving large non-linear programs.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
<a href="/en/project/GA15-17564S" target="_blank" >GA15-17564S: Game Theory in Formal Analysis and Verification of Computer Systems</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the 2016 International Conference on Autonomous Agents & Multiagent Systems
ISBN
9781450342391
ISSN
1548-8403
e-ISSN
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Number of pages
9
Pages from-to
1171-1179
Publisher name
ACM
Place of publication
New York
Event location
Singapore
Event date
May 9, 2016
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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