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The behavior modeling of battlefield individual based on mate-agents

  • Zhendong Wu*
  • , Wang Qing
  • , Yang Fei
  • *此作品的通讯作者
  • Beihang University

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

Considered actions of Virtual battlefield individual with the intelligence and autonomy characteristic, internal factors that influence personnel external behavior were broken down into mate-Agents with considering behavior functions, and a battlefield individual behavioral model was advanced by aggregating mate-Agents. Mate-Agent structure was accomplished by intelligent model based on its main features, with describing values and reliability of perception factors, using fuzzy wavelet algorithm for the decision-making data classification, achieving subjective composite indicator with the RBF neural network learning. Compared with traditional methods, the mate-Agents aggregation behavioral model greatly improves the intelligence, autonomy and diversity of behavior by handling the coupling and complex interactions of mate-Agents, which provide a new approach to battlefield individual action modeling.

源语言英语
主期刊名2nd International Workshop on Education Technology and Computer Science, ETCS 2010
87-90
页数4
DOI
出版状态已出版 - 2010
活动2nd International Workshop on Education Technology and Computer Science, ETCS 2010 - Wuhan, Hubei, 中国
期限: 6 3月 20107 3月 2010

出版系列

姓名2nd International Workshop on Education Technology and Computer Science, ETCS 2010
3

会议

会议2nd International Workshop on Education Technology and Computer Science, ETCS 2010
国家/地区中国
Wuhan, Hubei
时期6/03/107/03/10

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