Development models of herbaceous plants for computer imagery purposes
SIGGRAPH '88 Proceedings of the 15th annual conference on Computer graphics and interactive techniques
An analysis of decentralized and spatially distributed genetic algorithms
An analysis of decentralized and spatially distributed genetic algorithms
PLAZZMID: an evolutionary agent-based architecture inspired by Bacteria and Bees
ECAL'07 Proceedings of the 9th European conference on Advances in artificial life
Evolution and analysis of a robot controller based on a gene regulatory network
ICES'10 Proceedings of the 9th international conference on Evolvable systems: from biology to hardware
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The need to build modular, scalable, and complex technology capable of adaptation, self-assembly, and self-repair has fuelled renewed interest in using approaches inspired by developmental biology. To meet this need, a new field, called Computational Development (CD), has emerged. Its focus is on adapting processes and mechanisms from developmental biology so as to help us build scalable, complex technology. Due to the embryonic nature of the field, however, research investigating the potential of such approaches for different problem domains is crucial to its success. In this paper, the plausibility of applying a developmental biology-inspired approach to the demanding problem domain of reactive robot control is explored. Using developmental genetics as a source of inspiration, a model of genetic regulatory networks is used in conjunction with a spatially distributed evolutionary algorithm to evolve real-time robot controllers for tasks such as general purpose obstacle avoidance.