Why agents for automated negotiation should be adaptive

D.D.B. Bragt, van, J.A. Poutré, la

Research output: Contribution to journalArticleAcademicpeer-review

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.
Original languageEnglish
Pages (from-to)101-118
Number of pages18
JournalNetnomics
Volume5
Issue number2
DOIs
Publication statusPublished - 2003

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