Toward the Evolution of Dynamical Neural Networks for Minimally Cognitive Behavior (1996)
| Citations: | 99 - 9 self |
BibTeX
@MISC{Beer96towardthe,
author = {Randall D. Beer},
title = {Toward the Evolution of Dynamical Neural Networks for Minimally Cognitive Behavior},
year = {1996}
}
Years of Citing Articles
Bookmark
 |
 |
 |
 |
 |
 |
OpenURL
Abstract
Current debates regarding the possible cognitive implications of ideas from adaptive behavior research and dynamical systems theory would benefit greatly from a careful study of simple model agents that exhibit minimally cognitive behavior. This paper sketches one such agent, and presents the results of preliminary experiments on the evolution of dynamical neural networks for visually-guided orientation, object discrimination and accurate pointing with a simple manipulator to objects appearing in its field of view. 1 Introduction Many of the key ideas emphasized in adaptive behavior research are beginning to have a significant impact on cognitive science. For example, adaptive behavior research in general, and the dynamical perspective on adaptive behavior that is often taken in such research in particular, have begun to significantly influence the growing debates concerning the nature and necessity of notions of representation and computation in explaining cognitive behavio...
