| Abstract |
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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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 Additional Information
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Citation:
Christopher N. Eichelberger, Mirsad Hadzikadic,
"Investigating Agent Strategies within a Complex Adaptive System of Purchasing Agents for Estimating Attribute Relevance,"
wi-iatw,
pp. 32-36,
2006 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology - Workshops,
2006
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