Division of Informatics
Forrest Hill & 80 South Bridge
Research Paper #849 | |
|---|---|
| Title: | Incremental Acquisition of Complex Behavour Using Structured Evolution |
| Authors: | Perkins,SJ; Hayes,GM |
| Date: | Mar 1997 |
| Presented: | In the Proceedings of the International Conference on Neural Networks and Genetic Algorithms, Norwich, UK, 1997 |
| Keywords: | |
| Abstract: | In practice, general-purpose learning algorithms are not sufficient by themselves to allow robots to acquire complex skills - domain knowledge from a human designer is needed to bias the learning in order to achieve success. In this paper we argue that there are good ways and bad ways of supplying this bias and we present a novel evolutionary architecture that supports our particular approach. Results from preliminary experiments are presented in which we attempt to evolve a simple tracking behaviour in simulation. |
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