Abstract
We systematically explore a range of variations of our TAC travel-shopping agent, Walverine. The space of strategies is defined by settings to behavioral parameter values. Our empirical game-theoretic analysis is facilitated by approximating games through hierarchical reduction methods. This approach generated a small set of candidates for the version to run in the TAC-05 tournament. We selected among these based on performance in preliminary rounds, ultimately identifying a successful strategy for Walverine 2005.
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© 2006 Springer-Verlag Berlin Heidelberg
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Wellman, M.P., Reeves, D.M., Lochner, K.M., Suri, R. (2006). Searching for Walverine 2005. In: La Poutré, H., Sadeh, N.M., Janson, S. (eds) Agent-Mediated Electronic Commerce. Designing Trading Agents and Mechanisms. AMEC TADA 2005 2005. Lecture Notes in Computer Science(), vol 3937. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11888727_12
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DOI: https://doi.org/10.1007/11888727_12
Publisher Name: Springer, Berlin, Heidelberg
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