DocumentCode :
677834
Title :
Agent Evaluation in Distributed Adaptive Systems
Author :
Haibin Zhu ; Luming Feng ; Pickering, Robert
Author_Institution :
Dept. of Comput. Sci. & Math., Nipissing Univ., North Bay, ON, Canada
fYear :
2013
fDate :
13-16 Oct. 2013
Firstpage :
752
Lastpage :
757
Abstract :
Adaptive Collaboration (AC) aims at obtaining the overall optimal group performance. To obtain a group performance, we need to evaluate individual performance of each member in a group. This paper points out the key issues in evaluating the individual performance, formally specifies the related concepts, proposes an evaluation method based on role specification, and verify the proposed method by a case study.
Keywords :
distributed processing; groupware; multi-agent systems; adaptive collaboration; agent evaluation; distributed adaptive systems; individual performance evaluation; role-based collaboration; agents; and adaptive collaboration; evaluation; role-based collaboration; roles;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Man, and Cybernetics (SMC), 2013 IEEE International Conference on
Conference_Location :
Manchester
Type :
conf
DOI :
10.1109/SMC.2013.133
Filename :
6721886
Link To Document :
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