Learning to face stochastic demand

dc.contributor.author	Flåm, Sjur Didrik
dc.contributor.author	Sandsmark, Maria
dc.date.accessioned	2006-07-14T10:26:45Z
dc.date.available	2006-07-14T10:26:45Z
dc.date.issued	2000-09
dc.identifier.issn	1500-4066
dc.identifier.uri	http://hdl.handle.net/11250/163751
dc.description.abstract	We consider repeated interaction among several producers of a homogenous, divisible good, traded at a common market. Demand is uncertain, and its law is unknown. We explore an adaptive scheme leading such producers over time, to face correct demand data. Extensions include non-cooperative games in which strategic interaction is felt via exactly two real parameters.	en
dc.format.extent	196802 bytes
dc.format.mimetype	application/pdf
dc.language.iso	eng	en
dc.publisher	Norwegian School of Economics and Business Administration. Department of Finance and Management Science	en
dc.relation.ispartofseries	Discussion paper	en
dc.relation.ispartofseries	2000:18	en
dc.subject	repeated play	en
dc.subject	learning	en
dc.subject	nash equilibrium	en
dc.subject	cournot oligopoly	en
dc.subject	meanvalue iterates	en
dc.subject	divergence	en
dc.subject	stochastic approximation	en
dc.title	Learning to face stochastic demand	en
dc.type	Working paper	en