Permissive strategies: from parity games to safety games
Julien Bernet; David Janin; Igor Walukiewicz
RAIRO - Theoretical Informatics and Applications (2010)
- Volume: 36, Issue: 3, page 261-275
- ISSN: 0988-3754
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topBernet, Julien, Janin, David, and Walukiewicz, Igor. "Permissive strategies: from parity games to safety games." RAIRO - Theoretical Informatics and Applications 36.3 (2010): 261-275. <http://eudml.org/doc/92701>.
@article{Bernet2010,
abstract = {
It is proposed to compare strategies in a parity game by comparing
the sets of behaviours they allow. For such a game, there may be no
winning strategy that encompasses all the behaviours of all winning
strategies. It is shown, however, that there always exists a
permissive strategy that encompasses all the behaviours of all
memoryless strategies. An algorithm for finding such a permissive
strategy is presented. Its complexity matches currently known upper
bounds for the simpler problem of finding the set of winning
positions in a parity game. The algorithm can be seen as a
reduction of a parity to a safety game and computation of the
set of winning positions in the resulting game.
},
author = {Bernet, Julien, Janin, David, Walukiewicz, Igor},
journal = {RAIRO - Theoretical Informatics and Applications},
language = {eng},
month = {3},
number = {3},
pages = {261-275},
publisher = {EDP Sciences},
title = {Permissive strategies: from parity games to safety games},
url = {http://eudml.org/doc/92701},
volume = {36},
year = {2010},
}
TY - JOUR
AU - Bernet, Julien
AU - Janin, David
AU - Walukiewicz, Igor
TI - Permissive strategies: from parity games to safety games
JO - RAIRO - Theoretical Informatics and Applications
DA - 2010/3//
PB - EDP Sciences
VL - 36
IS - 3
SP - 261
EP - 275
AB -
It is proposed to compare strategies in a parity game by comparing
the sets of behaviours they allow. For such a game, there may be no
winning strategy that encompasses all the behaviours of all winning
strategies. It is shown, however, that there always exists a
permissive strategy that encompasses all the behaviours of all
memoryless strategies. An algorithm for finding such a permissive
strategy is presented. Its complexity matches currently known upper
bounds for the simpler problem of finding the set of winning
positions in a parity game. The algorithm can be seen as a
reduction of a parity to a safety game and computation of the
set of winning positions in the resulting game.
LA - eng
UR - http://eudml.org/doc/92701
ER -
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