Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
10481787 | Physica A: Statistical Mechanics and its Applications | 2012 | 6 Pages |
Abstract
⺠Neural networks concurrently learning to play 2Ã2 normal form games are simulated. ⺠Agents are randomly rematched with opponents, and games are randomly drawn. ⺠Neural networks learn to play unique pure strategy Nash equilibria. ⺠Neural networks abide by dominance and iterated dominance principles. ⺠Risk-dominant equilibria are played more often than payoff-dominant equilibria.
Keywords
Related Topics
Physical Sciences and Engineering
Mathematics
Mathematical Physics
Authors
Leonidas Spiliopoulos,