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dc.contributor.authorWu, Jie
dc.contributor.authorSnášel, Václav
dc.contributor.authorOchodková, Eliška
dc.contributor.authorMartinovič, Jan
dc.contributor.authorSvatoň, Václav
dc.contributor.authorAbraham, Ajith
dc.date.accessioned2013-06-07T08:48:41Z
dc.date.available2013-06-07T08:48:41Z
dc.date.issued2013
dc.identifier.citationNeurocomputing. 2013, vol. 109, p. 66-75.cs
dc.identifier.issn0925-2312
dc.identifier.urihttp://hdl.handle.net/10084/96407
dc.description.abstractStrategy is a kernel subsystem of robot soccer game. In our work, we present an approach to describe the strategy of the game, based on which we explain the morphology of strategy set. Loop strategies are likely to make robots be in a trap of executing repeated actions. We analyze the existence criterion of loop strategies, and then present some corollaries and theorems, by which the loop strategies and chain strategies can be found, also superfluous strategies and inconsistent strategies. We present a ranking model that indicates the weak node in strategy set. We also present a probability-based model which is the basis of evaluation of strategy. Additionally, we present a method to generate offensive strategy, and the statistic results of simulation game prove the validity of the method.cs
dc.language.isoencs
dc.publisherElseviercs
dc.relation.ispartofseriesNeurocomputingcs
dc.relation.urihttp://dx.doi.org/10.1016/j.neucom.2012.03.021cs
dc.subjectrobot soccercs
dc.subjectstrategycs
dc.titleAnalysis of strategy in robot soccer gamecs
dc.typearticlecs
dc.identifier.locationNení ve fondu ÚKcs
dc.identifier.doi10.1016/j.neucom.2012.03.021
dc.relation.projectid75cs
dc.type.statusPeer-reviewedcs
dc.description.sourceWeb of Sciencecs
dc.description.volume109cs
dc.description.lastpage66cs
dc.identifier.wos000318379600009


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