Name
Abstract | ||
|---|---|---|
We introduce an artificial neural network (ANN) representation that supportsthe evolution of complex behaviors in artificial organisms. The strengthand location of each connection in the network is specified by a connection descriptor.The connection descriptors are mapped directly into a bit--string towhich a genetic algorithm is applied. We empirically compare this representationto other ANN--based representations in the complex AntFarm task.1 IntroductionThe behavior of artificial... |
Year | DOI | Venue |
|---|---|---|
1990 | 10.1007/BFb0029761 | Parallel Problem Solving from Nature |
Keywords | Field | DocType |
artificial neural network representation,artificial organisms,artificial neural network,genetic algorithm | Artificial life,Evolutionary acquisition of neural topologies,Nervous system network models,Neuro-fuzzy,Physical neural network,Computer science,Types of artificial neural networks,Time delay neural network,Artificial intelligence,Artificial neural network,Machine learning | Conference |
Volume | ISBN | Citations |
496 | 3-540-54148-9 | 12 |
PageRank | References | Authors |
3.23 | 1 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Robert J. Collins | 1 | 12 | 3.23 |
| David R. Jefferson | 2 | 1136 | 213.09 |