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Three population co-evolution for generating mechanics of endless runner games

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F21%3A10440722" target="_blank" >RIV/00216208:11320/21:10440722 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.1145/3449726.3459538" target="_blank" >https://doi.org/10.1145/3449726.3459538</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1145/3449726.3459538" target="_blank" >10.1145/3449726.3459538</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Three population co-evolution for generating mechanics of endless runner games

  • Original language description

    Procedural content generation (PCG) is increasingly used to generate many aspects in a variety of games. However, using PCG to generate mechanics of games is rarely attempted. Past approaches include using cooperative coevolution to generate the rules and the environment of a game, which had interesting results. Our approach extends this idea by using coevolution with three populations, also generating the evaluating player. We used this approach to generate endless runner games, for which it was able to generate novel mechanics.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2021

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    GECCO 2021 Companion - Proceedings of the 2021 Genetic and Evolutionary Computation Conference Companion

  • ISBN

    978-1-4503-8351-6

  • ISSN

  • e-ISSN

  • Number of pages

    2

  • Pages from-to

    217-218

  • Publisher name

    Association for Computing Machinery

  • Place of publication

    New York

  • Event location

    Online

  • Event date

    Jul 10, 2021

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article