Back to Search
Start Over
Melioration Learning in Two-Person Games.
- Source :
- PLoS ONE; 11/16/2016, Vol. 11 Issue 11, p1-16, 16p
- Publication Year :
- 2016
-
Abstract
- Melioration learning is an empirically well-grounded model of reinforcement learning. By means of computer simulations, this paper derives predictions for several repeatedly played two-person games from this model. The results indicate a likely convergence to a pure Nash equilibrium of the game. If no pure equilibrium exists, the relative frequencies of choice may approach the predictions of the mixed Nash equilibrium. Yet in some games, no stable state is reached. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 19326203
- Volume :
- 11
- Issue :
- 11
- Database :
- Complementary Index
- Journal :
- PLoS ONE
- Publication Type :
- Academic Journal
- Accession number :
- 119490030
- Full Text :
- https://doi.org/10.1371/journal.pone.0166708