Why Agents for Automated Negotiations Should Be Adaptive

David van Bragt () and J.A. La Poutré ()
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J.A. La Poutré: CWI, Centre for Mathematics and Computer Science

Netnomics, 2003, vol. 5, issue 2, 101-118

Abstract: 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.

Keywords: adaptive agents; automated negotiations; e-commerce; evolutionary algorithms; finite automata (search for similar items in EconPapers)
Date: 2003
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DOI: 10.1023/A:1026021701904

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