DocumentCode :
2224400
Title :
Collaboration based on hierarchical relationship
Author :
Liang, Xiaohui ; Shen, Xukun ; Zhao, Qinping
Author_Institution :
Key Lab. of Virtual Reality Technol., Beihang Univ., Beijing, China
fYear :
2003
fDate :
13-16 Oct. 2003
Firstpage :
415
Lastpage :
418
Abstract :
In this paper, we present a technique for the collaboration among the members of computer generated action team in the virtual environment. We research a multiagent model in artificial intelligence and put our emphases on the structure of the team members. We analyze the hierarchical relationship among team members in the real world and apply it to computer generated team. In this approach, we present a hierarchical collaboration model based on the planned team activity model. The hierarchical relationship among the team members is organized as a hierarchical tree and each member of the team maintains this relationship. To maintain the hierarchical relationship, this paper also gives some atom rules and functions to adapt the dynamic environment. Using our improved model, the team can work effectively and dynamically in real time. The result shows that by using the hierarchical model the collaboration among the team members in the virtual environments is improved.
Keywords :
artificial intelligence; game theory; groupware; multi-agent systems; social sciences computing; team working; virtual reality; artificial intelligence; belief-desire-intention model; cognitive operators; computer generated action team; computer generated actor; dynamic environment; game theory; hierarchical collaboration model; hierarchical relationship; hierarchical tree; joint intention model; multiagent model; planned team activity model; social science; team member structure; virtual environment; Artificial intelligence; Collaboration; Collaborative work; Computer science education; Distributed computing; Educational technology; Large-scale systems; Paper technology; Virtual environment; Virtual reality;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Agent Technology, 2003. IAT 2003. IEEE/WIC International Conference on
Print_ISBN :
0-7695-1931-8
Type :
conf
DOI :
10.1109/IAT.2003.1241111
Filename :
1241111
Link To Document :
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