Abstract
This paper investigates a system that uses a genetic algorithm to train a robot for a generalised test environment, then an evolutionary strategy to investigate the effect of continuing the evolution as the robot progresses with its task. The paper concludes that continuing evolution after a training phase has an important role to play in producing truly adaptive robots.
| Original language | English |
|---|---|
| Title of host publication | From animals to animats 7 |
| Subtitle of host publication | Proceedings of the Seventh International Conference on Simulation of Adaptive Behavior |
| Editors | B. Hallam, D. Floreano, J. Meyer, G. Hayes |
| Publisher | MIT Press |
| Pages | 347-348 |
| Number of pages | 2 |
| Edition | 1 |
| ISBN (Print) | 9780262291170 |
| Publication status | Published - 2002 |