| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 9653134 | Neural Networks | 2005 | 9 Pages |
Abstract
Results show that, evolved to control simulated Khepera robots in a simple navigation task, plastic and non-plastic networks develop fault-tolerant structures which can recover normal operation to various degrees.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Diego Federici,