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Band 3048

Agent-Mediated Electronic Commerce V Designing Mechanisms and Systems, AAMAS 2003 Workshop, AMEC 2003, Melbourne, Australia, July 15. 2003, Revised Selected Papers

Aus der Reihe Lecture Notes in Artificial Intelligence

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Beschreibung

Section I: Automated Negotiation.- Automated Negotiation and Bundling of Information Goods.- Two Stock-Trading Agents: Market Making and Technical Analysis.- Acquiring Tradeoff Preferences for Automated Negotiations: A Case Study.- A Decommitment Strategy in a Competitive Multi-agent Transportation Setting.-...

Beschreibung

Section I: Automated Negotiation.- Automated Negotiation and Bundling of Information Goods.- Two Stock-Trading Agents: Market Making and Technical Analysis.- Acquiring Tradeoff Preferences for Automated Negotiations: A Case Study.- A Decommitment Strategy in a Competitive Multi-agent Transportation Setting.- Section II: Mechanism Design.- Sequences of Take-It-or-Leave-It Offers: Near-Optimal Auctions Without Full Valuation Revelation.- Mechanism for Optimally Trading Off Revenue and Efficiency in Multi-unit Auctions.- Choosing Samples to Compute Heuristic-Strategy Nash Equilibrium.- Section III: Multi-agent Markets.- Improving Learning Performance by Applying Economic Knowledge.- Handling Resource Use Oscillation in Multi-agent Markets.

Produktdetails

Einband

Taschenbuch
Erscheinungsdatum

18.10.2004
Abbildungen

XI, 155 p.
Herausgeber Peyman Faratin + weitere

Produktdetails

Einband

Taschenbuch
Erscheinungsdatum

18.10.2004
Abbildungen

XI, 155 p.
Herausgeber
Verlag Springer Berlin
Seitenzahl

155
Maße (L/B/H)

23,5/15,5/1 cm
Gewicht

271 g
Auflage

2004
Sprache

Englisch
ISBN

978-3-540-22674-1
Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: ProductSafety@springernature.com

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  • Produktbild: Agent-Mediated Electronic Commerce V
  • Produktbild: Agent-Mediated Electronic Commerce V
  • Section I: Automated Negotiation.- Automated Negotiation and Bundling of Information Goods.- Two Stock-Trading Agents: Market Making and Technical Analysis.- Acquiring Tradeoff Preferences for Automated Negotiations: A Case Study.- A Decommitment Strategy in a Competitive Multi-agent Transportation Setting.- Section II: Mechanism Design.- Sequences of Take-It-or-Leave-It Offers: Near-Optimal Auctions Without Full Valuation Revelation.- Mechanism for Optimally Trading Off Revenue and Efficiency in Multi-unit Auctions.- Choosing Samples to Compute Heuristic-Strategy Nash Equilibrium.- Section III: Multi-agent Markets.- Improving Learning Performance by Applying Economic Knowledge.- Handling Resource Use Oscillation in Multi-agent Markets.