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JCAT: a platform for the TAC market design competition
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International Conference on Autonomous Agents archive
Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems: demo papers table of contents
Estoril, Portugal
SESSION: Academic software table of contents
Pages 1649-1650  
Year of Publication: 2008
Authors
Jinzhong Niu  City University of New York
Kai Cai  City University of New York
Simon Parsons  City University of New York
Enrico Gerding  University of Southampton
Peter McBurney  University of Liverpool
Thierry Moyaux  University of Liverpool
Steve Phelps  University of Liverpool
David Shield  University of Liverpool
Sponsors
AAAI : Association for the Advancement of Artifical Intelligence
ACM: Association for Computing Machinery
Publisher
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ABSTRACT

Auctions, when well designed, result in desirable economic out-comes and have been widely used in solving real-world resource allocation problems, and in structuring stock or futures exchanges. The field of auction mechanism design has drawn much attention in recent years from economists, mathematicians, and computer scientists. In traditional auction theory, auctions are viewed as games of incomplete information and traditional analytic methods from game theory have been successfully applied to some simple types of auctions. However, the assumption of prior common knowledge in the incomplete information approach may not hold in some auctions, and computing analytic solutions may be infeasible in other auctions. Both of these problems hold in the case of continuous double auctions.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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E. Gerding, P. McBurney, J. Niu, S. Parsons, and S. Phelps. Overview of CAT: A market design competition. Technical Report ULCS-07-006, Department of Computer Science, University of Liverpool, Liverpool, UK, 2007. Version 1.1.
 
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S. Phelps, S. Parsons, E. Sklar, and P. McBurney. Using genetic programming to optimise pricing rules for a double auction market. In Proceedings of the Workshop on Agents for Electronic Commerce., Pittsburgh, PA, 2003.

Collaborative Colleagues:
Jinzhong Niu: colleagues
Kai Cai: colleagues
Simon Parsons: colleagues
Enrico Gerding: colleagues
Peter McBurney: colleagues
Thierry Moyaux: colleagues
Steve Phelps: colleagues
David Shield: colleagues