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Agent-Mediated Electronic Commerce. Designing Trading Agents and Mechanisms: AAMAS 2005 Workshop, AMEC 2005, Utrecht, Netherlands, July 25, 2005, and ... / Lecture Notes in Artificial Intelligence)
 
 
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Agent-Mediated Electronic Commerce. Designing Trading Agents and Mechanisms: AAMAS 2005 Workshop, AMEC 2005, Utrecht, Netherlands, July 25, 2005, and ... / Lecture Notes in Artificial Intelligence) [Paperback]

Han La Poutré (Editor), Norman Sadeh (Editor), Sverker Janson (Editor)

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Book Description

3540462422 978-3540462422 October 30, 2006 1
This book constitutes the thoroughly refereed post-proceedings of the 7th International Workshop on Agent-Mediated Electronic Commerce, AMEC VII 2005, held in Utrecht, Netherlands in July 2005, as part of AAMAS 2005, and the third Workshop on Trading Agent Design and Analysis, TADA 2005, held in Edinburgh, UK in August 2005, in the course of the IJCAI 2005 conference meetings. The seven revised full AMEC 2005 papers presented were carefully selected.

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Inside This Book (learn more)
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
discrete bid levels, sample average approximation method, factory utilisation, tac scm, learning rate rule, private value objects, scm agent, trading agent competition, supply chain management agent, two player types, centralized auctioneer, chain management game, weighted voting game, strategic bidders, flight auctions, hotel auctions, sequential auctions, randomised method, indivisibility constraints, seeding rounds, behavioural layer, immediate valuation, hid levels, unconditional privacy, randomized mechanisms
Key Phrases - Capitalized Phrases (CAPs): (learn more)
Artificial Intelligence, Deep Maize, Springer-Verlag Berlin Heidelberg, New York, Adaptive Trading Agent, Department of Computer Science, Indivisible Bids, Journal of Political Economy, Monte Carlo, Multi-Attempt Massive Strategy, Exploiting Information Quality, University of Southampton, Academic Press, Cambridge University Press, Decision Support Systems, Value Object, Computational Intelligence, Management Science, Number of Goods Fig, Revenue of Agents
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