Learning of Controlling Behavior Using Learning Automaton Networks with Communications

• Toyama Tatsushi

  Meidensha Corporation

• Koakutsu Seiichi

  Chiba University

• Qian Fei

  Hiroshima-DENKI Institute of Technology

• Hirata Hironori

  Chiba University

Bibliographic Information

Other Title

• 通信機能を導入した集団学習オートマトンによる制御学習
• ツウシン キノウ オ ドウニュウシタ シュウダン ガクシュウ オートマトン ニ

Abstract

The learning automaton is one of the best known learning systems which is capable of operating in highly uncertain random environments. In this paper, we propose a new learning system which accelerates the learning speed by introducing communications between learning automaton networks. In the proposed system, learning automaton networks can quickly respond to the dynamical changes of the random environment because they can share the information about the random environment by communications. We apply the proposed system to a learning problem of controlling the behavior of artificial insects. Computational experiments show that proposed system obtains better results in terms of the convergence speed comparing conventional learning automaton networks without communications.

Journal

• IEEJ Transactions on Electronics, Information and Systems

  IEEJ Transactions on Electronics, Information and Systems 118 (5), 781-786, 1998

  The Institute of Electrical Engineers of Japan

Keywords

• 学習オートマトン
• ニューラルネットワーク
• 強化学習
• 制御学習
• 人工生命

Details

• CRID: 1390282679584118784
• NII Article ID: 10011205578
• NII Article ID: 130006843364
• NII Article ID: 10002813993
• NII Book ID: AN10065950
• DOI: 10.1541/ieejeiss1987.118.5_781
• ISSN: 13488155
• ISSN: 03854221
• NDL BIB ID: 4469925
• Web Site: https://ndlsearch.ndl.go.jp/books/R000000004-I4469925
• Web Site: https://www.jstage.jst.go.jp/article/ieejeiss1987/118/5/118_5_781/_pdf
• Data Source:
  • JaLC
  • NDL
  • Crossref
  • CiNii Articles
• Abstract License Flag: Disallowed