Ensemble Decision Systems for general video game playing

Anderson, Damien and Rodgers, Philip and Levine, John and Guerrero-Romero, Cristina and Perez-Liebana, Diego (2019) Ensemble Decision Systems for general video game playing. In: IEEE Conference on Games (COG) 2019, 2019-08-20 - 2019-08-23.

[img]
Preview
 Text (Anderson-etal-IEEE-COG-2019-Ensemble-Decision-Systems-for-general-video-game-playing)
Anderson_etal_IEEE_COG_2019_Ensemble_Decision_Systems_for_general_video_game_playing.pdf
Accepted Author Manuscript
Download (334kB)| Preview

    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.

    Author(s):Anderson, Damien ORCID logoORCID: https://orcid.org/0000-0002-8554-3068, Rodgers, Philip ORCID logoORCID: https://orcid.org/0000-0001-5570-7490, Levine, John ORCID logoORCID: https://orcid.org/0000-0001-7016-2978, Guerrero-Romero, Cristina and Perez-Liebana, Diego
    Item type:Conference or Workshop Item(Paper)
    ID code:68243
    Keywords:GVGAI, GVGP, game AI, Ensemble Decision Systems, Electronic computers. Computer science, Computer Science(all)
    Subjects:Science > Mathematics > Electronic computers. Computer science
    Department:Faculty of Science > Computer and Information Sciences
    Depositing user: Pure Administrator
    Date deposited:04 Jun 2019 13:55
    Last modified:14 Nov 2019 01:07
    Related URLs:
    URI:https://strathprints.strath.ac.uk/id/eprint/68243
    Export data:
    CORE (COnnecting REpositories)