인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 저자정보
초록·키워드
In this paper, we suggest an experiment environment that considers actuality and new capture strategy that using direction vector to solve prey pursuit problem that is typical experiment model of multi agent system. General prey pursuit problem used capture strategy between agents from limited grid space. But, this causes actuality deficiency problem of experiment environment itself. Also, in prey pursuit problem, there are a lot of problems such as occurrence of collision between agents, imperfection capture that can be produced from corner of restricted grid space. Therefore, we proposed continuous experiment space of grid space of circular type that is environment similar to the actuality world in this paper, and agents in proposed experiment space solved prey pursuit problem through direction vector that uses distance information and direction information between each others. The proposed method could capture prey effectively through using direction vector in new environment, and we solved imperfection capture and agent collision problem that happens in general research.
본문·목차
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
최근 본 자료 전체보기
UCI(KEPA) : I410-ECN-0101-2012-569-004077724