Template-Type: ReDIF-Paper 1.0
Title: An Extended Reinforcement Algorithm for Estimation of Human Behaviour in Congestion Games
Author-Name: Thorsten Chmura
Author-Name: Thomas Pitz
Author-Email: 
Classification-JEL: C91, C92, C15, R4 
Keywords: congestion game, minority game, laboratory experiments, reinforcement algorithm, payoff sum model 
Abstract: The paper reports simulations applied on two similar congestion games: the first is 
	the classical minority game. The second one is a asymmetric variation of the minority game 
	with linear payoff functions. For each game simulation results based on an extended 
	reinforcement algorithm are compared with real experimental statistics. It is shown that 
	the extension of the reinforcement model is essential for fitting the experimental data 
	and estimating the players behaviour.   
Note: 
Length: 19
Creation-Date: 2004-12	
Revision-Date: 
File-URL: http://www.wiwi.uni-bonn.de/bgsepapers/bonedp/bgse24_2004.pdf
File-Format: application/pdf
Handle: RePEc:bon:bonedp:bgse24_2004