DocumentCode :
2271434
Title :
Using self-diagnosis to adapt organizational structures
Author :
Horling, Bryan ; Benyo, Brett ; Lesser, Victor
Author_Institution :
Dept. of Comput. & Inf. Sci., Massachusetts Univ., Amherst, MA, USA
fYear :
2000
fDate :
2000
Firstpage :
397
Lastpage :
398
Abstract :
The specific organization used by a multi-agent system is crucial for its effectiveness and efficiency. In dynamic environments, or when the objectives of the system shift, the organization must therefore be able to change as well. The authors propose using a general diagnosis engine to drive this process of adaptation, using the TAEMS modeling language as the primary representation of organizational information (B. Horling et al., 1999)
Keywords :
adaptive systems; fault diagnosis; multi-agent systems; program diagnostics; TAEMS modeling language; dynamic environments; general diagnosis engine; multi-agent system; organizational information; organizational structure adaptation; self-diagnosis; Computer science; Control systems; Delay; Engines; Government; Hybrid power systems; Load management; Multiagent systems; Problem-solving; Runtime;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
MultiAgent Systems, 2000. Proceedings. Fourth International Conference on
Conference_Location :
Boston, MA
Print_ISBN :
0-7695-0625-9
Type :
conf
DOI :
10.1109/ICMAS.2000.858493
Filename :
858493
Link To Document :
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