Walverine: a Walrasian trading agent

11 years 3 months ago
Walverine: a Walrasian trading agent
TAC-02 was the third in a series of Trading Agent Competition events fostering research in automating trading strategies by showcasing alternate approaches in an open-invitation market game. TAC presents a challenging travel-shopping scenario where agents must satisfy client preferences for complementary and substitutable goods by interacting through a variety of market types. Michigan’s entry, Walverine, bases its decisions on a competitive (Walrasian) analysis of the TAC travel economy. Using this Walrasian model, we construct a decision-theoretic formulation of the optimal bidding problem, which Walverine solves in each round of bidding for each good. Walverine’s optimal bidding approach, as well as several other features of its overall strategy, are potentially applicable in a broad class of trading environments. £Revised and extended version of a paper to appear in the Second International Joint Conference on Autonomous Agents and Multi-Agent Systems (AAMAS-03). 1
Shih-Fen Cheng, Evan Leung, Kevin M. Lochner, Kevi
Added 06 Jul 2010
Updated 06 Jul 2010
Type Conference
Year 2003
Where ATAL
Authors Shih-Fen Cheng, Evan Leung, Kevin M. Lochner, Kevin O'Malley, Daniel M. Reeves, L. Julian Schvartzman, Michael P. Wellman
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