"As Time Goes By" - Using Time Series Based Decision Tree Induction to Analyze the Behaviour of Opponent Players

Authors:
Christian Drücker;Sebastian Hübner;Ubbo Visser;Hans-Georg Weland
Affiliations:
-;-;-;-
Venue:
RoboCup 2001: Robot Soccer World Cup V
Year:
2002

Citing 7
Cited 2

On the Handling of Continuous-Valued Attributes in Decision Tree Generation

Machine Learning
C4.5: programs for machine learning

C4.5: programs for machine learning
Induction of Decision Trees

Machine Learning
Automated Assistants to Aid Humans in Understanding Team Behaviors

RoboCup-99: Robot Soccer World Cup III
The Statistics Proxy Server

RoboCup 2000: Robot Soccer World Cup IV
Recognizing Formations in Opponent Teams

RoboCup 2000: Robot Soccer World Cup IV
Behavior Classification with Self-Organizing Maps

RoboCup 2000: Robot Soccer World Cup IV

Incremental Generation of Abductive Explanations for Tactical Behavior

RoboCup 2007: Robot Soccer World Cup XI
Experimental evaluation of time-series decision tree

AM'03 Proceedings of the Second international conference on Active Mining

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Abstract

With the more sophisticated abilities of teams within the simulation league, high level online functions become more and more attractive. Last year we proposed an approach to recognize the opponents strategy and developed the online coach accordingly. The coach was able to detect their strategy and then passed this information together with appropriate countermeasures to his team. However, this approach gives only information about the entire team and is not able to detect significant situations (e.g. double pass, standard situations). In this paper we describe a new decision tree induction for continous valued time series, used to analyze the behaviour of opponent players.