Arbeitspapier
An Extended Reinforcement Algorithm for Estimation of Human Behaviour in Congestion Games
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.
- Sprache
-
Englisch
- Erschienen in
-
Series: Bonn Econ Discussion Papers ; No. 24/2004
- Klassifikation
-
Wirtschaft
Design of Experiments: Laboratory, Individual
Design of Experiments: Laboratory, Group Behavior
Statistical Simulation Methods: General
- Thema
-
congestion game
minority game
laboratory experiments
reinforcement algorithm
payoff sum model
- Ereignis
-
Geistige Schöpfung
- (wer)
-
Chmura, Thorsten
Pitz, Thomas
- Ereignis
-
Veröffentlichung
- (wer)
-
University of Bonn, Bonn Graduate School of Economics (BGSE)
- (wo)
-
Bonn
- (wann)
-
2004
- Handle
- Letzte Aktualisierung
-
10.03.2025, 11:44 MEZ
Datenpartner
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Objekttyp
- Arbeitspapier
Beteiligte
- Chmura, Thorsten
- Pitz, Thomas
- University of Bonn, Bonn Graduate School of Economics (BGSE)
Entstanden
- 2004
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