Abstract:
Plan recognition for multi-agent teams is an important domain in MAS research. Typical plan-recognition algorithms assume theavailability of a pre-plan library which contains all the expected plans. An approach which does not need such a library is proposed to model thebehavior patterns of an agent team according to the statistical dependency of sequential events that are observed.
摘要: 对多主体团队行为的计划识别是多主体系统研究领域的一个重要课题。传统的计划识别技术通常都建立在待识别计划存在于一个预先给定的计划库的假设之上。文章提出一种不需要类似前提库的计划识别算法。该算法通过分析观测的事件帧序列之间的统计相关性来有效地发现待建模团队的合作模式。
关键词:
计划,
事件,
多主体系统,
RoboCup
CLC Number:
YANG Yang, CHEN Xiaoping. Approach of Plan-recognition Based on Sequential Events[J]. , 2005, 31(12): 57-.
杨洋,陈小平. 基于事件序列的计划识别算法[J]. , 2005, 31(12): 57-.