Summary
Electronic Commerce has been a very significant commercial phenomenon in recent years and autonomous agents have made the advantage of e-marketplace to be more distinct. By comparison with traditional markets, the e-marketplace can bring more benefits to its participators. However, when an e-market environment becomes open and dynamic, existing agent negotiation models may expose some limitations in such a complex situation. Static negotiation strategies and encounter rules are difficulty to capture changes of market situations and omit potential impacts on negotiators’ profits. For example, shoppers’ benefits may be damaged when a market shifts away from the seller’s market to the buyer’s market. In this paper, we propose a novel desire-based negotiation model to solve such a challenge in open and dynamic e-marketplace through capturing changes of market situation and potential impacts on agents’ reserved expectations. Experimental results illustrate the benefits and efficiency of the proposed model in complex e-market environments.
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Ren, F., Zhang, M. (2010). Desire-Based Negotiation in Electronic Marketplaces. In: Ito, T., Zhang, M., Robu, V., Fatima, S., Matsuo, T., Yamaki, H. (eds) Innovations in Agent-Based Complex Automated Negotiations. Studies in Computational Intelligence, vol 319. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15612-0_2
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DOI: https://doi.org/10.1007/978-3-642-15612-0_2
Publisher Name: Springer, Berlin, Heidelberg
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