Using Self-Diagnosis to Adapt Organizational Structures

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http://doi.ieeecomputersociety.org/10.1109/ICMAS.2000.858493

Fourth International Conference on Mu ...

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	ASCII Text	x
	B. Horling, B. Benyo, V. Lesser, "Using Self-Diagnosis to Adapt Organizational Structures," Multi-Agent Systems, International Conference on, pp. 0397, Fourth International Conference on Multi-Agent Systems (ICMAS'00), 2000.

	BibTex	x
	@article{ 10.1109/ICMAS.2000.858493, author = {B. Horling and B. Benyo and V. Lesser}, title = {Using Self-Diagnosis to Adapt Organizational Structures}, journal ={Multi-Agent Systems, International Conference on}, volume = {0}, year = {2000}, isbn = {0-7695-0625-9}, pages = {0397}, doi = {http://doi.ieeecomputersociety.org/10.1109/ICMAS.2000.858493}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Multi-Agent Systems, International Conference on TI - Using Self-Diagnosis to Adapt Organizational Structures SN - 0-7695-0625-9 SP EP A1 - B. Horling, A1 - B. Benyo, A1 - V. Lesser, PY - 2000 VL - 0 JA - Multi-Agent Systems, International Conference on ER -

B. Horling

B. Benyo

V. Lesser

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. In this abstract, we propose using a general diagnosis engine to drive this process of adaptation, using the T\AE MS modeling language as the primary representation of organizational information.

Citation:

B. Horling, B. Benyo, V. Lesser, "Using Self-Diagnosis to Adapt Organizational Structures," icmas, pp.0397, Fourth International Conference on Multi-Agent Systems (ICMAS'00), 2000

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