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Applying genetic programming to economic mechanism design: evolving a pricing rule for a continuous double auction
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Source International Conference on Autonomous Agents archive
Proceedings of the second international joint conference on Autonomous agents and multiagent systems table of contents
Melbourne, Australia
POSTER SESSION: Posters table of contents
Pages: 1096 - 1097  
Year of Publication: 2003
ISBN:1-58113-683-8
Authors
Steve Phelps  University of Liverpool, Liverpool, UK.
Peter McBurney  University of Liverpool, Liverpool, UK.
Simon Parsons  Brooklyn College, Brooklyn, NY
Elizabeth Sklar  Columbia University, New York, NY
Sponsors
SIGART: ACM Special Interest Group on Artificial Intelligence
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 3,   Downloads (12 Months): 41,   Citation Count: 0
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INDEX TERMS

Primary Classification:
  I. Computing Methodologies
  I.2 ARTIFICIAL INTELLIGENCE
        I.2.11 Distributed Artificial Intelligence
            Subjects: Multiagent systems


General Terms:
Design, Economics


Keywords:
cognitive game theory, continuous double auction, genetic programming, mechanism design, multi-agent systems (MAS), pareto optimisation, reinforcement learning, trading strategies

Collaborative Colleagues:
Steve Phelps: colleagues
Peter McBurney: colleagues
Simon Parsons: colleagues
Elizabeth Sklar: colleagues

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