Name
Title | ||
|---|---|---|
Bayesian Filtering with Multiple Internal Models: Toward a Theory of Social Intelligence. |
Abstract | ||
|---|---|---|
To exhibit social intelligence, animals have to recognize whom they are communicating with. One way to make this inference is to select among internal generative models of each conspecific who may be encountered. However, these models also have to be learned via some form of Bayesian belief updating. This induces an interesting problem: When receiving sensory input generated by a particular conspe... |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1162/neco_a_01239 | Neural Computation |
Field | DocType | Volume |
Inference,Artificial intelligence,Social intelligence,Generative grammar,Bayesian filtering,Machine learning,Mathematics | Journal | 31 |
Issue | ISSN | Citations |
12 | 0899-7667 | 0 |
PageRank | References | Authors |
0.34 | 0 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Takuya Isomura | 1 | 0 | 3.04 |
| Thomas Parr | 2 | 6 | 5.34 |
| Karl J Friston | 3 | 4455 | 347.58 |