인공면역망에 의한 자율이동로봇의 행동 선택

Action Selections for an Autonomous Mobile Robot by Artificial Immune Network

  • 한상현 (부산대학교 지능기계공학과) ;
  • 윤중선 (부산대학교 기계공학부)
  • 발행 : 2000.10.01

초록

Conventional artificial intelligence systems are not properly responding under dynamically changing environments. To overcome this problem, reactive planning systems implementing new Al principles, called behavior-based Al or emergent computation, have been proposed and confirmed their usefulness. As another alternative, biological information processing systems may provide many feasible ideas to these problems. Immune system, among these systems, plays important roles to maintain its own system against dynamically changing environments. Therefore, immune system would provide a new paradigm suitable for dynamic problem dealing with unknown environments. In this paper, a new approach to behavior-based Al by paying attention to biological immune system is investigated. The feasibility of this method is confirmed by applying to behavior control of an autonomous mobile robot in cluttered environment.

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