An AI game player trained by a genetic algorithm that avoids bombardments in a shooting game

DOI

Bibliographic Information

Other Title
  • 遺伝的アルゴリズムによるシューティングゲームにおけるゲームAI

Description

<p>Making programs play games has contributed significantly to the advancement of AI research. It is partly because popular games often resemble real-world problems. Tackling them has enabled AI to cope with real-world scenarios as well. Now that AI has surpassed humans in strategy board games such as chess and go, one next target would be to train it to play video games. This paper focuses on a shooting game and optimizes a program to avoid bombardments deployed by the opposing player. Using a genetic algorithm, the AI player was optimized to move around without hitting enemy attacks. The results of experiments showed that it can successfully learn to do so, although with much computation time.</p>

Journal

Details 詳細情報について

  • CRID
    1390282763024932608
  • NII Article ID
    130007422768
  • DOI
    10.11517/pjsai.jsai2018.0_3pin134
  • Text Lang
    ja
  • Data Source
    • JaLC
    • CiNii Articles
  • Abstract License Flag
    Disallowed

Report a problem

Back to top