대한전기학회:학술대회논문집 (Proceedings of the KIEE Conference)
- 대한전기학회 2002년도 합동 추계학술대회 논문집 정보 및 제어부문
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- Pages.178-182
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- 2002
인공생명체를 위한 행동선택 구조
Action Selection Mechanism for Artificial Life System
- 김민조 (한양대학교 정보통신대학원 정보통신공학과) ;
- 권우영 (한양대학교 정보통신대학원 정보통신공학과) ;
- 이상훈 (한양대학교 전자전기제어계측공학과) ;
- 서일홍 (한양대학교 정보통신대학원 정보통신공학과)
- Kim, Min-Jo (The Graduate school of Information & Communications, Hanyang University) ;
- Kwon, Woo-Young (The Graduate school of Information & Communications, Hanyang University) ;
- Lee, Sang-Hoon (Dept. of EECIE., Hanyang University) ;
- Suh, Il-Hong (The Graduate school of Information & Communications, Hanyang University)
- 발행 : 2002.11.30
초록
For action selection as well as teaming, simple associations between stimulus and response have been employed in most of literatures. But, for successful task accomplishment, it is required that artificial life system can team and express behavioral sequences. In this paper, we propose a novel action-selection-mechanism to deal with behavioral sequences. For this, we define behavioral motivation as a primitive node for action selection, and then hierarchically construct a tree with behavioral motivations. The vertical path of the tree represents behavioral sequences. Here, such a tree for our proposed ASM can be newly generated and/or updated, whenever a new behavioral sequence is learned. To show the validity of our proposed ASM, three 2-D grid world simulations will be illustrated.
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