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SOMA Swarm Algorithm in Computer Games

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F16%3A86100479" target="_blank" >RIV/61989100:27240/16:86100479 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    SOMA Swarm Algorithm in Computer Games

  • Original language description

    This participation is focused on artificial intelligence techniques and their practical use in computer game. The aim is to show how game player (based on evolutionary algorithms) can replace a man in two computer games. The first one is strategy game StarCraft: Brood War, briefly reported here. Implementation used in our experiments use classic techniques of artificial intelligence environments, as well as unconventional techniques, such as evolutionary computation. The second game is Tic-Tac-Toe in which SOMA has also take a role of player against human player. This provides an opportunity for effective, coordinated movement in the game fitness landscape. Research reported here has shown potential benefit of evolutionary computation in the field of strategy games and players strategy mining based on their mutual interactions.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/GA15-06700S" target="_blank" >GA15-06700S: Unconventional Control of Complex Systems</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2016

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Volume 9692

  • ISBN

    978-3-319-39377-3

  • ISSN

    0302-9743

  • e-ISSN

  • Number of pages

    12

  • Pages from-to

    395-406

  • Publisher name

    Springer

  • Place of publication

    Basel

  • Event location

    Zakopane

  • Event date

    Jun 12, 2016

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article