Name
Title | ||
|---|---|---|
Artificial Epigenetic Networks: Automatic Decomposition of Dynamical Control Tasks Using Topological Self-Modification. |
Abstract | ||
|---|---|---|
This paper describes the artificial epigenetic network, a recurrent connectionist architecture that is able to dynamically modify its topology in order to automatically decompose and solve dynamical problems. The approach is motivated by the behavior of gene regulatory networks, particularly the epigenetic process of chromatin remodeling that leads to topological change and which underlies the dif... |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/TNNLS.2015.2497142 | IEEE Transactions on Neural Networks and Learning Systems |
Keywords | Field | DocType |
Genetics,Computational modeling,Computer architecture,Biological system modeling,Network topology,Artificial neural networks,Topology | Intelligent control,Attractor,Topology,Computer science,Robustness (computer science),Network topology,Artificial intelligence,Gene regulatory network,Artificial neural network,Epigenetic Process,Connectionism,Machine learning | Journal |
Volume | Issue | ISSN |
28 | 1 | 2162-237X |
Citations | PageRank | References |
6 | 0.50 | 26 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Alexander P. Turner | 1 | 34 | 4.72 |
| Leo S. Caves | 2 | 514 | 43.16 |
| Susan Stepney | 3 | 813 | 113.21 |
| Andy M. Tyrrell | 4 | 629 | 73.61 |
| Michael A. Lones | 5 | 168 | 20.42 |