Extracting winning strategies in update games

Date
2011-06-27
Authors
Liu, J
Khaliq, I
Khoussainov, B
Supervisor
Item type
Conference Contribution
Degree name
Journal Title
Journal ISSN
Volume Title
Publisher
Springer Berlin / Heidelberg
Abstract

This paper investigates algorithms for extracting winning strategies in two-player games played on nite graphs. We focus on a special class of games called update games. We present a procedure for extracting winning strategies in update games by constructing strategies explicitly. This is based on an algorithm that solves update games in quadratic time. We also show that solving update games with a bounded number of nondeterministic nodes takes linear time.

Description
Keywords
Games , Update networks , Finite state strategies
Source
Computer Science: models of Computation in Context: proceedings from the 7th Conference on Computability in Europe (CiE'11), Sofia, Bulgaria, vol.6735, pp. 142 - 151
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