Multiagent system simulations of signal averaging in English auctions with two-dimensional value signals

DOI10.1007/S10614-009-9167-5zbMath1187.91082OpenAlexW2029109254MaRDI QIDQ1038767

Alan Mehlenbacher

Publication date: 20 November 2009

Published in: Computational Economics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10614-009-9167-5

zbMATH Keywords

agent-based computational economicsEnglish auctionsmulti-dimensional value signalssignal averaging

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Auctions, bargaining, bidding and selling, and other market models (91B26) Agent technology and artificial intelligence (68T42)

Related Items (1)

Multiagent system simulations of treasury auctions

Cites Work

• Sophisticated experience-weighted attraction learning and strategic teaching in repeated games
• Learning direction theory and the winner's curse
• Individual behavior of first-price auctions: the importance of information feedback in computerized experimental markets
• An initial implementation of the Turing tournament to learning in repeated two-person games
• Advances in prospect theory: cumulative representation of uncertainty
• Impulse balance equilibrium and feedback in first price auctions
• A Theory of Auctions and Competitive Bidding
• Empirical Implications of Equilibrium Bidding in First-Price, Symmetric, Common Value Auctions
• Efficient Auctions
• Efficient Design with Interdependent Valuations
• Identification of Standard Auction Models

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