Extended Homeostatic Adaptation: Improving the Link between Internal and Behavioural Stability

Abstract

This study presents an extended model of homeostatic adaptation designed to exploit the internal dynamics of a neural network in the absence of sensory input. In order to avoid typical convergence to asymptotic states under these conditions plastic changes in the network are induced in evolved neurocontrollers leading to a renewal of dynamics that may… (More)
DOI: 10.1007/978-3-540-69134-1_1

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