DocumentCode
2567800
Title
Improvement to rated group role assignment algorithms
Author
Zhu, Haibin ; Alkins, Rob
Author_Institution
Dept. of Comput. Sci. & Math., Nipissing Univ., North Bay, ON, Canada
fYear
2009
fDate
11-14 Oct. 2009
Firstpage
4716
Lastpage
4721
Abstract
Role assignment is a critical task in Role-Based Collaboration (RBC). It can be divided into three steps, i.e., agent evaluation, group role assignment, and role transfer, where group role assignment is a time-consuming process. This paper clarifies the problem of group role assignment; describes the general assignment problem; adapts the group role assignment problem to the general assignment problem; proposes an algorithm for group role assignment based on the Munkres algorithm; conducts an experiment by randomly creating agent qualifications, analyzes the solutions´ performances, and points out the future work. The results show that the improved algorithm significantly improves the algorithm based on exhaustive search.
Keywords
search problems; Munkres algorithm; agent evaluation; exhaustive search; rated group role assignment algorithms; role transfer; role-based collaboration; Algorithm design and analysis; Collaboration; Collaborative work; Computer science; Cybernetics; Mathematics; Performance analysis; Qualifications; Role transfer; USA Councils; agents; role assignment; role-based collaboration; roles;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems, Man and Cybernetics, 2009. SMC 2009. IEEE International Conference on
Conference_Location
San Antonio, TX
ISSN
1062-922X
Print_ISBN
978-1-4244-2793-2
Electronic_ISBN
1062-922X
Type
conf
DOI
10.1109/ICSMC.2009.5346095
Filename
5346095
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