Seeing the light: artificial evolution, real vision
SAB94 Proceedings of the third international conference on Simulation of adaptive behavior : from animals to animats 3: from animals to animats 3
On the dynamics of small continuous-time recurrent neural networks
Adaptive Behavior - Special issue on computational neuroethology
Understanding intelligence
Evolution of visual resolution constrained by a trade-off
Artificial Life
Coevolution of active vision and feature selection
Biological Cybernetics
Attention can improve a simple model for object recognition
Image and Vision Computing
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Biologically inspired designs can improve the design of artificial agents. In this paper we explain and explore the role of directional light sensors from an Evolutionary Robotics perspective using a dynamical systems approach. It was found that by using directionally specific sensors in the agent, there was a simplification of the neural controller employed. This simplification helped not only with the analysis of this type of controller but also improved the behavioural performance of the agents, thereby showing a good example of the ecological balance principle.