Agent-Mediated Electronic Commerce V. Designing Mechanisms and Systems AAMAS 2003 Workshop, AMEC 2003, Melbourne, Australia, July 15, 2003, Revised Selected Papers / [electronic resource] :
edited by Peyman Faratin, David C. Parkes, Juan A. Rodríguez-Aguilar, William E. Walsh.
- Berlin, Heidelberg : Springer Berlin Heidelberg, 2004.
- VII, 153 p. online resource.
- Lecture Notes in Computer Science, 3048 0302-9743 ; .
- Lecture Notes in Computer Science, 3048 .
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.
9783540259473
10.1007/b99040 doi
Computer science.
Computer Science.
Computer Science, general.
QA75.5-76.95
004
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.
9783540259473
10.1007/b99040 doi
Computer science.
Computer Science.
Computer Science, general.
QA75.5-76.95
004