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Agent-Mediated Electronic Commerce V

Designing Mechanisms and Systems, AAMAS 2003 Workshop, AMEC 2003, Melbourne, Australia, July 15. 2003, Revised Selected Papers

  • Conference proceedings
  • © 2004

Overview

Editors:
  1. Peyman Faratin

    1. Massachusetts Institute of Technology, Computer Science and Artificial Intelligence Laboratory, Cambridge, USA

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  2. David C. Parkes

    1. School of Engineering and Applied Sciences, Harvard University, Cambridge

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  3. Juan A. Rodríguez-Aguilar

    1. IIIA, Artificial Intelligence Research Institute CSIC, Spanish Research Council, Bellaterra, Spain

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  4. William E. Walsh

    1. IBM T. J. Watson Research Center, Hawthorne, USA

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 3048)

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

Included in the following conference series:

Conference proceedings info: AMEC 2003.

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Table of contents (9 papers)

  1. Front Matter

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  2. Section I: Automated Negotiation

    1. Automated Negotiation and Bundling of Information Goods

      • D. J. A. Somefun, E. H. Gerding, S. Bohte, J. A. La Poutré
      Pages 1-17

    2. Two Stock-Trading Agents: Market Making and Technical Analysis

      • Yi Feng, Ronggang Yu, Peter Stone
      Pages 18-36

    3. Acquiring Tradeoff Preferences for Automated Negotiations: A Case Study

      • Xudong Luo, Nicholas R. Jennings, Nigel Shadbolt
      Pages 37-55

    4. A Decommitment Strategy in a Competitive Multi-agent Transportation Setting

      • P. J. ’t Hoen, J. A. La Poutré
      Pages 56-72

  3. Section II: Mechanism Design

    1. Sequences of Take-It-or-Leave-It Offers: Near-Optimal Auctions Without Full Valuation Revelation

      • Tuomas Sandholm, Andrew Gilpin
      Pages 73-91

    2. Mechanism for Optimally Trading Off Revenue and Efficiency in Multi-unit Auctions

      • Anton Likhodedov, Tuomas Sandholm
      Pages 92-108

    3. Choosing Samples to Compute Heuristic-Strategy Nash Equilibrium

      • William E. Walsh, David C. Parkes, Rajarshi Das
      Pages 109-123

  4. Section III: Multi-agent Markets

    1. Improving Learning Performance by Applying Economic Knowledge

      • Christopher H. Brooks, Robert S. Gazzale, Jeffrey K. MacKie Mason, Edmund H. Durfee
      Pages 124-144

    2. Handling Resource Use Oscillation in Multi-agent Markets

      • Mark Klein, Yaneer Bar-Yam
      Pages 145-153

  5. Back Matter

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Other volumes

  1. Agent-Mediated Electronic Commerce V. Designing Mechanisms and Systems

Keywords

Editors and Affiliations

  • Massachusetts Institute of Technology, Computer Science and Artificial Intelligence Laboratory, Cambridge, USA

    Peyman Faratin

  • School of Engineering and Applied Sciences, Harvard University, Cambridge

    David C. Parkes

  • IIIA, Artificial Intelligence Research Institute CSIC, Spanish Research Council, Bellaterra, Spain

    Juan A. Rodríguez-Aguilar

  • IBM T. J. Watson Research Center, Hawthorne, USA

    William E. Walsh

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