Name
Abstract | ||
|---|---|---|
This paper discusses an empirical investigation into the N-person's Iterated Prisoners' Dilemma, a standard problem from game theory. We use reinforcement learning and our experimental results give some insight into the circumstances where cooperation might develop. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/CIS.2011.111 | Computational Intelligence and Security |
Keywords | Field | DocType |
iterated prisoners,standard problem,n-persons iterated prisoners,empirical investigation,reinforcement learning,game theory,games,iterative methods,immune system,oligopoly,finance,learning artificial intelligence,computational intelligence | Oligopoly,Computer science,Prisoner's dilemma,Artificial intelligence,Game theory,Dilemma,Error-driven learning,Iterated function,Machine learning,Reinforcement learning | Conference |
ISBN | Citations | PageRank |
978-1-4577-2008-6 | 1 | 0.36 |
References | Authors | |
2 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| J. Enrique Agudo | 1 | 42 | 8.98 |
| Colin Fyfe | 2 | 508 | 55.62 |