Towards quantifying interaction networks in a football match

Oliver M. Cliff, Joseph T. Lizier, X. Rosalind Wang, Peter Wang, Oliver Obst, Mikhail Prokopenko

Research output: Chapter in Book / Conference PaperConference Paperpeer-review

11 Citations (Scopus)

Abstract

We present several novel methods quantifying dynamic interactions in simulated football games. These interactions are captured in directed networks that represent significant coupled dynamics, detected information-theoretically. The model-free approach measures information dynamics of both pair-wise players' interactions as well as local tactical contests produced during RoboCup 2D Simulation League games. This analysis involves computation of information transfer and storage, relating the information transfer to responsiveness of the players and the team, and the information storage within the team to the team's rigidity and lack of tactical flexibility. The resultant directed networks (interaction diagrams) and the measures of responsiveness and rigidity reveal implicit interactions, across teams, that may be delayed and/or long-ranged. The analysis was verified with a number of experiments, identifying the zones of the most intense competition and the extent of interactions.
Original languageEnglish
Title of host publicationRoboCup 2013: Robot World Cup XVII, 1 July 2013, Eindhoven University of Technology
PublisherSpringer
Pages1-12
Number of pages12
ISBN (Print)9783662444672
DOIs
Publication statusPublished - 2014
EventRoboCup International Symposium -
Duration: 1 Jul 2013 → …

Publication series

Name
ISSN (Print)0302-9743

Conference

ConferenceRoboCup International Symposium
Period1/07/13 → …

Keywords

  • computer simulation
  • football
  • information dynamics
  • interactions

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