Name
Abstract | ||
|---|---|---|
Our researches on adaptive systems are inspired by their ability of building by themselves a representation of their surrounding world. Using cooperation as a local criterion of self-organization, we study in a network of neuro-agents the evolution of the system and in the same way, the emergence of a functioning coherent with the environmental feed-back. In this paper we expose the abilities of the neuro-agents that give them the autonomy required to build an ab nihilo topology. And finally we want to emphasize the dynamic of the network organization that is basically its best property of adaptation to a changing environment. |
Year | Venue | Keywords |
|---|---|---|
2005 | ESANN | self organization,adaptive system |
Field | DocType | Citations |
Complex system,Computer science,Adaptive system,Global system,Autonomy,Working hypothesis,Artificial intelligence,Artificial systems,Dynamic neural network,Machine learning,Global model | Conference | 3 |
PageRank | References | Authors |
0.41 | 5 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jean-Pierre Mano | 1 | 43 | 5.11 |
| Pierre Glize | 2 | 215 | 34.04 |