An extended reinforcement algorithm for estimation of human behaviour in experimental congestion games

Chmura, T. ORCID: 0000-0001-7476-2030 and Pitz, T., 2007. An extended reinforcement algorithm for estimation of human behaviour in experimental congestion games. Journal of Artificial Societies and Social Simulation, 10 (2), pp. 1-20. ISSN 1460-7425

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Abstract

The paper reports simulations applied on two similar congestion games: the first is the classical minority game. The second one is an 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 player's behaviour.

Item Type: Journal article
Publication Title: Journal of Artificial Societies and Social Simulation
Creators: Chmura, T. and Pitz, T.
Publisher: Department of Sociology, University of Surrey
Date: 2007
Volume: 10
Number: 2
ISSN: 1460-7425
Divisions: Schools > Nottingham Business School
Depositing User: Linda Sullivan
Date Added: 23 Apr 2018 13:58
Last Modified: 23 Apr 2018 13:58
Related URLs:
URI: http://irep.ntu.ac.uk/id/eprint/33297

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