Name
Abstract | ||
|---|---|---|
An important research challenge that needs to be address in the area of intelligent systems is the development of new, innovative and original methods, algorithms and implementations of systems with a high level of intelligent; that is, with a high level of flexibility and autonomy. This intelligence needs to be developed by understanding the environment in which these systems operate. However, these environments could be non-stationary, unpredictably changing and partially or completely unknown. For this reason, in order to develop an intelligent system - able to face with problems such as modeling, control, prediction, classification or data mining - in such environments, they need to be able to evolve, to self-develop, to self-organize, to self-evaluate and to self-improve. This is the cornerstone behind the Evolving and Adaptive Intelligent Systems. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1016/j.entcs.2008.02.008 | Fundam. Inform. |
Keywords | DocType | Volume |
general,documentation,miscellaneous | Journal | 200 |
Issue | ISBN | Citations |
2 | 978-1-4673-1726-9 | 0 |
PageRank | References | Authors |
0.34 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Parosh Aziz Abdulla | 1 | 2010 | 122.22 |
| Stéphane Demri | 2 | 832 | 60.65 |
| Alain Finkel | 3 | 614 | 50.80 |
| Jérôme Leroux | 4 | 0 | 0.34 |
| Igor Potapov | 5 | 319 | 38.31 |