Name
Abstract | ||
|---|---|---|
The Iterated Prisoners Dilemma (IPD) has received much attention because of its ability to demonstrate altruistic behavior. However, most studies focus on the synchronous case, where players make their decisions simultaneously. As this is implausible in most biological contexts, a more generalized approach is required to study the emergence of altruistic behavior in an evolutionary context. Here, we take previous results and present a generalized Markov model for asynchronous IPD, where both, one, or neither player can make a decision at a given time step. We show that the type of asynchronous timing introduced into the model influences the strategy that dominates. The framework presented here is a more biologically plausible scenario through which to investigate altruistic behavior. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1007/11903697_93 | SEAL |
Keywords | Field | DocType |
asynchronous timing,evolutionary context,biological context,iterated prisoners dilemma,generalized markov model,generalized approach,biologically plausible scenario,altruistic behavior,previous result,asynchronous iterated prisoner,asynchronous ipd,markov model | Asynchronous communication,Stag hunt,Evolutionary algorithm,Markov model,Computer science,Prisoner's dilemma,Markov chain,Artificial intelligence,Iterated function,Decision-making | Conference |
Volume | ISSN | ISBN |
4247 | 0302-9743 | 3-540-47331-9 |
Citations | PageRank | References |
0 | 0.34 | 1 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| David Cornforth | 1 | 30 | 6.63 |
| David Newth | 2 | 77 | 22.00 |