Name
Abstract | ||
|---|---|---|
We describe some simple simulations showing two possible adaptive advantages of the ability to predict the consequences of one's actions: predicted inputs can replace missing inputs and predicted success vs failure can help deciding whether to actually executing a planned action or not The neural networks controlling the organisms' behaviour include distinct modules whose connection weights are all genetically inherited and evolved using a genetic algorithm except those of the predictive module which are learned during life. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1007/11840541_2 | SAB |
Keywords | Field | DocType |
missing input,distinct module,connection weight,success vs failure,planned action,neural network,predictive module,genetic algorithm,simple simulation,possible adaptive advantage,genetics | Virtual reality,Adaptive method,Computer science,Artificial intelligence,Artificial neural network,Genetic algorithm,Machine learning | Conference |
Volume | ISSN | ISBN |
4095 | 0302-9743 | 3-540-38608-4 |
Citations | PageRank | References |
0 | 0.34 | 7 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Daniele Caligiore | 1 | 21 | 5.18 |
| Massimo Tria | 2 | 0 | 0.34 |
| Domenico Parisi | 3 | 745 | 101.62 |