DocumentCode :
2376483
Title :
Collective group role assignment and its complexity
Author :
Zhu, Haibin
Author_Institution :
Dept. of Comput. Sci. & Math., Nipissing Univ., North Bay, ON, Canada
fYear :
2011
fDate :
9-12 Oct. 2011
Firstpage :
351
Lastpage :
356
Abstract :
Role assignment is an important task in Role-Based Collaboration (RBC) and Adaptive Collaboration. There are many variations in the process of role assignment. An introduction of any new requirement leads to a significant change in the process and the complexity of the algorithm of role assignment. This paper formally identifies a group of problems in role assignment when multiple agents are involved; proposes initial solutions; conducts simulations and experiments to reveal the complexity of collective group role assignment, and indicates future work activities. The contributions of this paper include formal provision of taxonomy for collective group role assignment and indication of the complexities arising from of this type of problem through simulations and experiments.
Keywords :
groupware; multi-agent systems; RBC; adaptive collaboration; collective group role assignment; multiple agents; role-based collaboration; Algorithm design and analysis; Argon; Collaboration; Complexity theory; Object recognition; Qualifications; agents; colletive group role assginment; role assignment; roles;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Man, and Cybernetics (SMC), 2011 IEEE International Conference on
Conference_Location :
Anchorage, AK
ISSN :
1062-922X
Print_ISBN :
978-1-4577-0652-3
Type :
conf
DOI :
10.1109/ICSMC.2011.6083690
Filename :
6083690
Link To Document :
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