Analysis of Behavior Strategy on Evolutionary Robotics Using Self-organization Maps

• Goka Masanori

  Hyogo Prefectural Institute of Technology

• Matsumura Yoshiyuki

  Shinshu University

• Ohkura Kazuhiro

  Hiroshima University

抄録

One of the techniques for constructing an adaptive multi-agent system on the basis of evolutionary robotics (ER) is to generate robot behaviour suitable for an environment. However, even through careful examination, it is difficult to understand the strategies and features that are indicated by robot behaviours. Therefore, we have focussed on the environmental information used for the behaviour of robots. In this study, we attempt to construct an analytical method by using the recognition of a change in the information that affects a robot behavioural strategy. We propose a functional circle that describes the abstract functional relationships between robots and objects in their world for analysis of perception mechanisms and show the world of recognition by using self-organizing maps (SOM).

収録刊行物

• SCIS & ISIS

  SCIS & ISIS 2010 (0), 722-727, 2010

  日本知能情報ファジィ学会

キーワード

• Multiagent System
• Evolutionary Robotics
• Self-organizing Maps

詳細情報

• CRID: 1390001205589881728
• NII論文ID: 130005019661
• DOI: 10.14864/softscis.2010.0.722.0
• 本文言語コード: en
• データソース種別:
  • JaLC
  • CiNii Articles
• 抄録ライセンスフラグ: 使用不可