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.
- Language
-
Englisch
- Bibliographic citation
-
Series: Bonn Econ Discussion Papers ; No. 24/2004
- Classification
-
Wirtschaft
Design of Experiments: Laboratory, Individual
Design of Experiments: Laboratory, Group Behavior
Statistical Simulation Methods: General
- Subject
-
congestion game
minority game
laboratory experiments
reinforcement algorithm
payoff sum model
- Event
-
Geistige Schöpfung
- (who)
-
Chmura, Thorsten
Pitz, Thomas
- Event
-
Veröffentlichung
- (who)
-
University of Bonn, Bonn Graduate School of Economics (BGSE)
- (where)
-
Bonn
- (when)
-
2004
- Handle
- Last update
-
10.03.2025, 11:44 AM CET
Data provider
This object is provided by:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.
Object type
- Arbeitspapier
Associated
- Chmura, Thorsten
- Pitz, Thomas
- University of Bonn, Bonn Graduate School of Economics (BGSE)
Time of origin
- 2004
Other Objects (12)
Congestion and Residential Moving Behaviour
Dynamic algorithm configuration by reinforcement learning
A Survey on TCP-Friendly Congestion Control (extended version)
Equation-Based Congestion Control for Unicast Applications: the Extended Version
XGANDALF – extended gradient descent algorithm for lattice finding
Traffic Congestion and Congestion Pricing
Congestion
Congestion and Residential Moving Behaviour in the presence of Moving Costs
Congestion Modelling
On the relation between the extended supporting hyperplane algorithm and Kelley’s cutting plane algorithm
Manipulable Congestion Tolls
Liquidity and congestion
Congestion and Residential Moving Behaviour
Dynamic algorithm configuration by reinforcement learning
A Survey on TCP-Friendly Congestion Control (extended version)
Equation-Based Congestion Control for Unicast Applications: the Extended Version
XGANDALF – extended gradient descent algorithm for lattice finding
Traffic Congestion and Congestion Pricing
Congestion
Congestion and Residential Moving Behaviour in the presence of Moving Costs
Congestion Modelling
On the relation between the extended supporting hyperplane algorithm and Kelley’s cutting plane algorithm
Manipulable Congestion Tolls
Liquidity and congestion
Congestion and Residential Moving Behaviour
Dynamic algorithm configuration by reinforcement learning
A Survey on TCP-Friendly Congestion Control (extended version)
Equation-Based Congestion Control for Unicast Applications: the Extended Version
XGANDALF – extended gradient descent algorithm for lattice finding
Traffic Congestion and Congestion Pricing
Congestion
Congestion and Residential Moving Behaviour in the presence of Moving Costs
Congestion Modelling
On the relation between the extended supporting hyperplane algorithm and Kelley’s cutting plane algorithm
Manipulable Congestion Tolls