Ensemble decision systems for general video game playing

Damien Anderson*, Philip Rodgers, John Levine, Cristina Guerrero-Romero, Diego Perez-Liebana

*Corresponding author for this work

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

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Abstract

Ensemble Decision Systems offer a unique form of decision making that allows a collection of algorithms to reason together about a problem. Each individual algorithm has its own inherent strengths and weaknesses, and often it is difficult to overcome the weaknesses, while retaining the strengths. Instead of altering the properties of the algorithm, the Ensemble Decision System augments the performance with other algorithms that have complementing strengths. This work outlines different options for building an Ensemble Decision System as well as providing analysis on its performance compared to the individual components of the system with interesting results, showing an increase in the generality of the algorithms without significantly impeding performance.
Original languageEnglish
Title of host publication2019 IEEE Conference on Games (CoG)
PublisherIEEE
Number of pages8
ISBN (Electronic)978-1-7281-1884-0
ISBN (Print)978-1-7281-1885-7
DOIs
Publication statusPublished - 26 Sep 2019

Publication series

Name
ISSN (Print)2325-4270
ISSN (Electronic)2325-4289

Keywords

  • GVGAI
  • GVGP
  • Ensemble Decision Systems
  • Game AI

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    Anderson, D., Rodgers, P., Levine, J., Guerrero-Romero, C., & Perez-Liebana, D. (2019). Ensemble decision systems for general video game playing. In 2019 IEEE Conference on Games (CoG) IEEE. https://doi.org/10.1109/CIG.2019.8848089