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 language | English (US) |
|---|---|
| Title of host publication | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
| Pages | 325-330 |
| Number of pages | 6 |
| Volume | 2377 LNAI |
| State | Published - 2002 |
| Externally published | Yes |
| Event | 5th Robot World Cup Soccer Games and Conferences, RoboCup 2001 - Seattle, WA, United States Duration: Aug 2 2001 → Aug 10 2001 |
Publication series
| Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| Volume | 2377 LNAI |
| ISSN (Print) | 03029743 |
| ISSN (Electronic) | 16113349 |
Other
| Other | 5th Robot World Cup Soccer Games and Conferences, RoboCup 2001 |
|---|---|
| Country | United States |
| City | Seattle, WA |
| Period | 8/2/01 → 8/10/01 |
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ASJC Scopus subject areas
- Computer Science(all)
- Theoretical Computer Science
Cite this
Drücker, C., Hübner, S., Visser, U. E., & Weland, H. G. (2002). "As time goes by" - Using time series based decision tree induction to analyze the behaviour of opponent players. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 2377 LNAI, pp. 325-330). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2377 LNAI).