Abstract
Recently developed automated negotiation agents are starting to outperform humans in multiple types of negotiation. There has been a large body of research focusing on the design of negotiation strategies. However, only few authors have addressed the challenge of time-based discounts. In the ANAC2011, negotiation agents had to compete on various domains both with and without time-based discounts. This work presents the strategy of one of the finalists: TheNegotiator. Our contribution to the field of bilateral negotiation is threefold; First, we present the negotiation strategy of TheNegotiator; Second, we analyze the strategy using various quality measures; Finally, we discuss how the agent could be improved.
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© 2013 Springer-Verlag Berlin Heidelberg
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Dirkzwager, A.S.Y., Hendrikx, M.J.C., De Ruiter, J.R. (2013). TheNegotiator: A Dynamic Strategy for Bilateral Negotiations with Time-Based Discounts. In: Ito, T., Zhang, M., Robu, V., Matsuo, T. (eds) Complex Automated Negotiations: Theories, Models, and Software Competitions. Studies in Computational Intelligence, vol 435. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30737-9_16
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DOI: https://doi.org/10.1007/978-3-642-30737-9_16
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-30736-2
Online ISBN: 978-3-642-30737-9
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