Learning to bid in sequential Dutch auctions
type: Item
instance of: scholarly article
title: Learning to bid in sequential Dutch auctions
zbMATH Open document ID: 1402.91171
publication date: 2018-11-02T00:00:00Z
Mathematics Subject Classification ID: 91B26
Mathematics Subject Classification ID: 91A26
zbMATH DE Number: 6971154
zbMATH Keywords: multi-agent learning
zbMATH Keywords: auction markets
zbMATH Keywords: agent-based computational economics
author: Eric Guerci
author: Alan P. Kirman
author: Sonia Moulet
MaRDI profile type: Publication
full work available at URL: j.jedc.2014.09.029
OpenAlex ID: W2062123738
cites work: Sophisticated experience-weighted attraction learning and strategic teaching in repeated games
cites work: Understanding the Price Dynamics of a Real Market Using Simulations: The Dutch Auction of the Pescara Wholesale Fish Market
cites work: Nonclassical demand a model-free examination of price-quantity relations in the Marseille fish market
cites work: INDIVIDUAL EXPECTATIONS AND AGGREGATE BEHAVIOR IN LEARNING-TO-FORECAST EXPERIMENTS
cites work: Evolving market structure: An ACE model of price dispersion and loyalty
cites work: The declining price anomaly
cites work: A Theory of Auctions and Competitive Bidding
cites work: \({\mathcal Q}\)-learning
DOI: 10.1016/J.JEDC.2014.09.029
published in: Journal of Economic Dynamics and Control
description: scientific article; zbMATH DE number 6971154