Name
Abstract | ||
|---|---|---|
In this paper, we show how our AI opponents learn internal representations of probabilities. We use a Bayesian interpretation of such subjectivist probabilities but do not implement full Bayesian methods of parameter estimation since we wish the AIs to be as human-like as possible. Thus the parameters of the subjectivist probabilities are learned incrementally. |
Year | Venue | Keywords |
|---|---|---|
2005 | CIG | parameter estimation |
Field | DocType | Citations |
Computer science,Simulation,Artificial intelligence,Estimation theory,Machine learning,Subjectivism,Bayesian probability | Conference | 0 |
PageRank | References | Authors |
0.34 | 0 | 1 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Colin Fyfe | 1 | 508 | 55.62 |