Paper Info
Title
Robot Soccer - Strategy Description And Game Analysis
Abstract
The robot soccer game, as a part of standard applications of distributed system control in real time, provides numerous opportunities for the application of AI. Real-time dynamic strategy description and strategy learning possibility based on game observation are important to discover opponent's strategies, search tactical group movements and synthesize proper counter-strategies. In this paper, the game is separated into physical part and logical part including strategy level and abstract level. Correspondingly, the game strategy description and prediction of ball motion are built up. The way to use this description, such as learning rules and adapting team strategies to every single opponent, is also discussed. Cluster analysis is used to validate the strategy extraction.
Year
Venue
Keywords
2010
PROCEEDINGS OF THE 24TH EUROPEAN CONFERENCE ON MODELLING AND SIMULATION ECMS 2010
Robot Soccer, Cluster Analysis, Strategy, Prediction
Field
DocType
Citations 
Game analysis,Computer science,Game strategy,Artificial intelligence,Adversary,Robot
Conference
1
PageRank 
References 
Authors
0.46
4
6
Name
Order
Citations
PageRank
Jan Martinovic112934.61
Václav Snasel21261210.53
Eliška Ochodková3307.54
Lucie Nolta410.46
Jie Wu5104.02
Ajith Abraham68954729.23