"As time goes by" - Using time series based decision tree induction to analyze the behaviour of opponent players

Christian Drücker, Sebastian Hübner, Ubbo Visser, Hans Georg Weland

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations

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.

Original languageEnglish (US)
Title of host publicationRoboCup 2001
Subtitle of host publicationRobot Soccer World Cup V
Pages325-330
Number of pages6
StatePublished - Dec 1 2002
Externally publishedYes
Event5th Robot World Cup Soccer Games and Conferences, RoboCup 2001 - Seattle, WA, United States
Duration: Aug 2 2001Aug 10 2001

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume2377 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other5th Robot World Cup Soccer Games and Conferences, RoboCup 2001
CountryUnited States
CitySeattle, WA
Period8/2/018/10/01

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Drücker, C., Hübner, S., Visser, U., & Weland, H. G. (2002). "As time goes by" - Using time series based decision tree induction to analyze the behaviour of opponent players. In RoboCup 2001: Robot Soccer World Cup V (pp. 325-330). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2377 LNAI).