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Concurrent bilateral negotiation for open e-markets: The Conan strategy

Alrayes, Bedour, Kafalı, Özgur, Stathis, Kostas (2017) Concurrent bilateral negotiation for open e-markets: The Conan strategy. Knowledge and Information Systems, . ISSN 0219-1377. (doi:10.1007/s10115-017-1125-2) (KAR id:65851)


We develop a novel strategy that supports software agents to make decisions on how to negotiate for a resource in open and dynamic e-markets. Although existing negotiation strategies offer a number of sophisticated features, including modelling an opponent and negotiating with many opponents simultaneously, they abstract away from the dynamicity of the market and the model that the agent holds for itself in terms of ongoing negotiations, thus ignoring information that increases an agent’s utility. Our proposed strategy COncurrent Negotiating AgeNts (Conan) considers a weighted combination of modelling the market environment and the progress of concurrent negotiations in which the agent partakes. We conduct extensive experiments to evaluate the strategy’s performance in various settings where different opponents from the literature provide a competitive market. Our experiments provide statistically significant results showing how Conan outperforms the state-of-the-art in terms of the utility gained during negotiations.

Item Type: Article
DOI/Identification number: 10.1007/s10115-017-1125-2
Uncontrolled keywords: Automated negotiation, Concurrent negotiation strategy, Electronic markets, Multi-agent systems, Empirical evaluation
Subjects: Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming, > QA76.76.E95 Expert Systems (Intelligent Knowledge Based Systems)
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing
Depositing User: Ozgur Kafali
Date Deposited: 02 Feb 2018 14:03 UTC
Last Modified: 04 Mar 2024 19:45 UTC
Resource URI: (The current URI for this page, for reference purposes)

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