Artikel

Learning in networks: An experimental study using stationary concepts

Our study analyzes theories of learning for strategic interactions in networks. Participants played two of the 2 × 2 games used by Selten and Chmura [1]. Every participant played against four neighbors. As a distinct aspect our experimental design allows players to choose different strategies against each different neighbor. The games were played in two network structures: a lattice and a circle. We analyze our results with respect to three aspects. We first compare our results with the predictions of five different equilibrium concepts (Nash equilibrium, quantal response equilibrium, action-sampling equilibrium, payoff-sampling equilibrium, and impulse balance equilibrium) which represent the long-run equilibrium of a learning process. Secondly, we relate our results to four different learning models (impulse-matching learning, action-sampling learning, self-tuning EWA, and reinforcement learning) which are based on the (behavioral) round-by-round learning process. At last, we compare the data with the experimental results of Selten and Chmura [1]. One main result is that the majority of players choose the same strategy against each neighbor. As other results, we observe an order of predictive success for the equilibrium concepts that is different from the order shown by Selten and Chmura and an order of predictive success for the learning models that is only slightly different from the order shown in a recent paper by Chmura, Goerg and Selten [2].

Language
Englisch

Bibliographic citation
Journal: Games ; ISSN: 2073-4336 ; Volume: 5 ; Year: 2014 ; Issue: 3 ; Pages: 140-159 ; Basel: MDPI

Classification
Wirtschaft
Subject
stationary concepts
networks
learning
experimental economics

Event
Geistige Schöpfung
(who)
Berninghaus, Siegfried K.
Neumann, Thomas
Vogt, Bodo
Event
Veröffentlichung
(who)
MDPI
(where)
Basel
(when)
2014

DOI
doi:10.3390/g5030140
Handle
Last update
10.03.2025, 11:43 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.

Object type

  • Artikel

Associated

  • Berninghaus, Siegfried K.
  • Neumann, Thomas
  • Vogt, Bodo
  • MDPI

Time of origin

  • 2014

Other Objects (12)