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Half-Positional Objectives Recognized by Deterministic Büchi Automata (Extended Abstract)
Bouyer, Patricia; Casares, Antonio; Randour, Mickaël et al.
2023In IJCAI - International Joint Conference on Artificial Intelligence
Peer reviewed
 

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Abstract :
[en] In two-player zero-sum games on graphs, the protagonist tries to achieve an objective while the antagonist aims to prevent it. Objectives for which both players do not need to use memory to play optimally are well-understood and characterized both in finite and infinite graphs. Less is known about the larger class of half-positional objectives, i.e., those for which the protagonist does not need memory (but for which the antagonist might). In particular, no characterization of half-positionality is known for the central class of ω-regular objectives. Here, we characterize objectives recognizable by deterministic Büchi automata (a class of ω-regular objectives) that are half-positional, both over finite and infinite graphs. This characterization yields a polynomial-time algorithm to decide half-positionality of an objective recognized by a given deterministic Büchi automaton.
Research center :
CREMMI - Modélisation mathématique et informatique
Disciplines :
Mathematics
Computer science
Author, co-author :
Bouyer, Patricia;  Université Paris-Saclay [FR] > Laboratoire Méthodes Formelles (LMF)
Casares, Antonio;  Université de Bordeaux [FR] > LaBRI
Randour, Mickaël ;  Université de Mons - UMONS > Faculté des Sciences > Service de Mathématiques effectives
Vandenhove, Pierre  ;  Université de Mons - UMONS > Faculté des Sciences > Service de Mathématiques effectives ; Université Paris-Saclay [FR] > Laboratoire Méthodes Formelles (LMF)
Language :
English
Title :
Half-Positional Objectives Recognized by Deterministic Büchi Automata (Extended Abstract)
Publication date :
August 2023
Event name :
International Joint Conference on Artificial Intelligence (IJCAI 2023)
Event place :
Macao, Macao SAR China
Event date :
19th-25th August 2023
Event number :
32
By request :
Yes
Audience :
International
Journal title :
IJCAI - International Joint Conference on Artificial Intelligence
ISSN :
10450823
Peer reviewed :
Peer reviewed
Research unit :
S820 - Mathématiques effectives
Research institute :
Complexys
Name of the research project :
5564 - ASPREN-Randour - FrontieRS - Fédération Wallonie Bruxelles
4743 - ASP-Vandenhove - FrontieRS - Fédération Wallonie Bruxelles
3284 - CQ-Randour - ManySynth - Fédération Wallonie Bruxelles
5727 - PDR-Randour - ControlleRS
Funders :
F.R.S.-FNRS - Fonds de la Recherche Scientifique [BE]
Funding text :
This work has been supported by the ANR Project MAVeriQ (ANR-20-CE25-0012) and by the Fonds de la Recherche Scientifique - FNRS under Grant n° T.0188.23 (PDR ControlleRS). Mickael Randour is an F.R.S.-FNRS Research Associate and a member of the TRAIL Institute. Pierre Vandenhove is an F.R.S.-FNRS Research Fellow.
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