Resource title

An Extended Reinforcement Algorithm for Estimation of Human Behaviour in Congestion Games

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Resource description

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.

Resource author

Thorsten Chmura, Thomas Pitz

Resource publisher

Resource publish date

Resource language

eng

Resource content type

text/html

Resource resource URL

http://hdl.handle.net/10419/22901

Resource license

Adapt according to the presented license agreement and reference the original author.