Title
Analysis of strategy in robot soccer game
Abstract
Strategy 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.
Year
DOI
Venue
2013
10.1016/j.neucom.2012.03.021
Neurocomputing
Keywords
Field
DocType
chain strategy,probability-based model,superfluous strategy,robot soccer game,offensive strategy,simulation game,strategy set,loop strategy,ranking model,inconsistent strategy,strategy
Kernel (linear algebra),Statistic,Ranking,Artificial intelligence,Robot,Machine learning,Mathematics,Offensive
Journal
Volume
ISSN
Citations 
109,
0925-2312
3
PageRank 
References 
Authors
0.43
19
6
Name
Order
Citations
PageRank
Jie Wu1104.02
Václav Snasel21261210.53
Eliška Ochodková3307.54
Jan Martinovic412934.61
Václav Svaton5102.85
Ajith Abraham68954729.23