Abstract
In agent-based markets, adapting to the behavior of other agents is often necessary for success. When it is not possible to directly model individual competitors, an agent may instead model and adapt to the market conditions that result from competitor behavior. Such an agent could still benefit from reasoning about specific competitor strategies by considering how various combinations of these strategies would impact the conditions being modeled. We present an application of such an approach to a specific prediction problem faced by the agent TacTex-06 in the Trading Agent Competition’s Supply Chain Management scenario (TAC SCM).
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Pardoe, D., Stone, P. (2008). Adapting Price Predictions in TAC SCM. In: Collins, J., et al. Agent-Mediated Electronic Commerce and Trading Agent Design and Analysis. AMEC TADA 2007 2007. Lecture Notes in Business Information Processing, vol 13. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-88713-3_3
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DOI: https://doi.org/10.1007/978-3-540-88713-3_3
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-88712-6
Online ISBN: 978-3-540-88713-3
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