Learning to bid in sequential Dutch auctions
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DOI: 10.1016/j.jedc.2014.09.029
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- Eric Guerci & Alan Kirman & Sonia Moulet, 2014. "Learning to bid in sequential Dutch Auctions," Post-Print halshs-01069634, HAL.
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Citations
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Cited by:
- Fuqiang Lu & Yanli Hu & Hualing Bi & Min Huang & Meng Zhao, 2018. "An Auction Approach for Cost and Schedule Management of IT Outsourcing Project," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 35(05), pages 1-23, October.
- Li, Zhen & Yue, Jinfeng & Kuo, Ching-Chung, 2018. "Design of discrete Dutch auctions with consideration of time," European Journal of Operational Research, Elsevier, vol. 265(3), pages 1159-1171.
- Paul Pezanis-Christou & Hang Wu, 2018. "A non-game-theoretic approach to bidding in first-price and all-pay auctions," School of Economics Working Papers 2018-12, University of Adelaide, School of Economics.
More about this item
Keywords
Multi-agent learning; Auction markets; Agent-based computational economics;JEL classification:
- C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
- D44 - Microeconomics - - Market Structure, Pricing, and Design - - - Auctions
- D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
- D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
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