Self-organization and associative memory: 3rd edition
Self-organization and associative memory: 3rd edition
Neural Networks
A Hierarchical Self-Organizing Map Model for Sequence Recognition
Neural Processing Letters
Neural Computation and Self-Organizing Maps; An Introduction
Neural Computation and Self-Organizing Maps; An Introduction
Strategy Learning for a Team in Adversary Environments
RoboCup 2001: Robot Soccer World Cup V
RoboCup 2001: Robot Soccer World Cup V
RoboCup 2000: Robot Soccer World Cup IV
Agent community extraction for 2d-robosoccer
RoboCup 2005
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We describe a method that applies Self-Organizing Maps for direct clustering of spatio-temporal data. We use the method to evaluate the behavior of RoboCup players. By training the Self-Organizing Map with player data we have the possibility to identify various clusters representing typical agent behavior patterns. Thus we can draw certain conclusions about their tactical behavior, using purely motion data, i.e. logfile information. In addition, we examine the player-ball interaction that give information about the players' technical capabilities.