Name
Abstract | ||
|---|---|---|
This paper addresses the question to determine the necessary conditions for the emergence of modules in the framework of artificial evolution. In particular, threshold networks are trained as controllers for robots able to perform two different tasks at the same time. It is shown that modules do not emerge under a wide set of conditions in our experimental framework. This finding supports the hypothesis that the emergence of modularity indeed depends upon the algorithm used for artificial evolution and the characteristics of the tasks. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1007/978-3-319-29228-1_16 | Springer Proceedings in Complexity |
DocType | Citations | PageRank |
Conference | 0 | 0.34 |
References | Authors | |
0 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Delphine Nicolay | 1 | 0 | 0.34 |
| Andrea Roli | 2 | 1486 | 91.09 |
| T Carletti | 3 | 37 | 14.43 |