SIGGRAPH '94 Proceedings of the 21st annual conference on Computer graphics and interactive techniques
An Analysis of the Effects of Neighborhood Size and Shape on Local Selection Algorithms
PPSN IV Proceedings of the 4th International Conference on Parallel Problem Solving from Nature
Levels of dynamics and adaptive behavior in evolutionary neural controllers
ICSAB Proceedings of the seventh international conference on simulation of adaptive behavior on From animals to animats
An overview of evolutionary algorithms for parameter optimization
Evolutionary Computation
Morphological computation: connecting brain, body, and environment
BioADIT'06 Proceedings of the Second international conference on Biologically Inspired Approaches to Advanced Information Technology
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The coupling between an agent's body and its nervous system ensures that optimal behaviour generation can be undertaken in a specific niche. Depending on this coupling, nervous system or body plan architecture can partake in more or less of the behaviour. We will refer to this as the automatic distribution of computational workload. It is automatic since the coupling is evolved and not pre-specified. In order to investigate this further, we attempt to identify how, in models of undulatory fish, the coupling between body plan morphology and nervous system architecture should emerge in several constrained experimental setups. It is found that neural circuitry emerges minimalistically in all cases and that when certain body segmentation features are not coevolved, the agents exhibit higher levels of neural activity. On account of this, it is suggested that an unconstrained body plan morphology permits greater flexibility in the agent's ability to generate behaviour, whilst, if the body plan is constrained, flexibility is reduced with the result that the nervous system has to compensate.