Why Agents for Automated Negotiations Should Be Adaptive |
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Authors: | van Bragt D.D.B. La Poutré J.A. |
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Affiliation: | (1) CWI, Centre for Mathematics and Computer Science, P.O. Box 94079, 1090 GB Amsterdam, The Netherlands;(2) Department of Technology Management, De Lismortel 2, Postbus 513, TUE, Eindhoven University of Technology, 5600 MB Eindhoven, The Netherlands |
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Abstract: | We show that adaptive agents on the Internet can learn to exploit bidding agents who use a (limited) number of fixed strategies. These learning agents can be generated by adapting a special kind of finite automata with evolutionary algorithms (EAs). Our approach is especially powerful if the adaptive agent participates in frequently occurring micro-transactions, where there is sufficient opportunity for the agent to learn online from past negotiations. More in general, results presented in this paper provide a solid basis for the further development of adaptive agents for Internet applications. |
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Keywords: | adaptive agents automated negotiations e-commerce evolutionary algorithms finite automata |
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