Evolutionary autonomous agents: A neuroscience perspective
- 1 February 2002
- journal article
- review article
- Published by Springer Nature in Nature Reviews Neuroscience
- Vol. 3 (2) , 132-141
- https://doi.org/10.1038/nrn729
Abstract
In this article, I discuss the use of neurally driven evolutionary autonomous agents (EAAs) in neuroscientific investigations. Two fundamental questions are addressed. Can EAA studies shed new light on the structure and function of biological nervous systems? And can these studies lead to the development of new tools for neuroscientific analysis? The value and significant potential of EAA modelling in both respects is demonstrated and discussed, Although the study of EAAs for neuroscience research still faces difficult conceptual and technical challenges, it is a promising and timely endeavour.Keywords
This publication has 51 references indexed in Scilit:
- Evolution and development of neural controllers for locomotion, gradient-following, and obstacle-avoidance in artificial insectsIEEE Transactions on Neural Networks, 1998
- Better Living Through Chemistry: Evolving GasNets for Robot ControlConnection Science, 1998
- Evolution and Development of Modular Control Architectures for 1D Locomotion in Six-legged AnimatsConnection Science, 1998
- Knowledge-based vision and simple visual machinesPhilosophical Transactions Of The Royal Society B-Biological Sciences, 1997
- Learning to Adapt to Changing Environments in Evolving Neural NetworksAdaptive Behavior, 1996
- Theory in motionCurrent Opinion in Neurobiology, 1995
- Neuronal Activity During Different Behaviors in Aplysia : a Distributed Organization?Science, 1994
- A combined neuronal and mechanical model of fish swimmingBiological Cybernetics, 1993
- An Identified Neuron (CPR) Evokes Neuronal Responses Reflecting Food Arousal in AplysiaScience, 1990
- Patterns of degeneration after intrinsic lesions of the visual cortex (area 17) of the monkeyBrain Research, 1973