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Web Intelligence and Intelligent Agent Technology, International Conference on (2006)
Hong Kong, China
Dec. 18, 2006 to Dec. 22, 2006
ISBN: 0-7695-2749-3
pp: 32-36
Christopher N. Eichelberger , UNC Charlotte, USA
Mirsad Hadzikadic , UNC Charlotte, USA
ABSTRACT
The authors constructed a complex adaptive system of purchasing agents, and have used this software to estimate the relevance of attributes in a data set. The simulation supports the creation of arbitarily complex and diverse agent strategies. The effect of altering the proportion of two different agent strategies is investigated and reported, and constrasted with two non-CAS strategies based on information-gain variants.
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CITATION

M. Hadzikadic and C. N. Eichelberger, "Investigating Agent Strategies within a Complex Adaptive System of Purchasing Agents for Estimating Attribute Relevance," Web Intelligence and Intelligent Agent Technology, International Conference on(WI-IATW), Hong Kong, China, 2006, pp. 32-36.
doi:10.1109/WI-IATW.2006.84
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