Optimizing Visual Properties of Game Content through Neuroevolution

Antonios Liapis, Georgios N. Yannakakis, Julian Togelius

    Research output: Contribution to conference - NOT published in proceeding or journalPosterResearchpeer-review

    Abstract

    This paper presents a search-based approach to generating
    game content that satisfies both gameplay requirements
    and user-expressed aesthetic criteria. Using evolutionary
    constraint satisfaction, we search for spaceships (for a
    space combat game) represented as compositional pattern-producing
    networks. While the gameplay requirements are
    satisfied by ad-hoc defined constraints, the aesthetic evaluation
    function can also be informed by human aesthetic judgement.
    This is achieved using indirect interactive evolution,
    where an evaluation function re-weights an array of aesthetic
    criteria based on the choices of a human player. Early results
    show that we can create aesthetically diverse and interesting
    spaceships while retaining in-game functionality.
    Original languageEnglish
    Publication date2011
    Number of pages6
    Publication statusPublished - 2011
    EventSeventh Artificial Intelligence and Interactive Digital Entertainment Conference - Palo Alto, United States
    Duration: 12 Oct 201114 Oct 2011
    Conference number: 7th
    http://www.aiide.org/aiide11/

    Conference

    ConferenceSeventh Artificial Intelligence and Interactive Digital Entertainment Conference
    Number7th
    Country/TerritoryUnited States
    CityPalo Alto
    Period12/10/201114/10/2011
    Internet address

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