Chaos: making a new science
Stability in adaptation and learning
SAB94 Proceedings of the third international conference on Simulation of adaptive behavior : from animals to animats 3: from animals to animats 3
The algorithmic beauty of sea shells
The algorithmic beauty of sea shells
Handbook of software reliability engineering
Handbook of software reliability engineering
The Role of Development in Computational Systems
BT Technology Journal
Eos — An Evolutionary and Ecosystem Research Platform
BT Technology Journal
Evolutionary computation: comments on the history and current state
IEEE Transactions on Evolutionary Computation
The Role of Development in Computational Systems
BT Technology Journal
Nature-Inspired Computing Technology and Applications
BT Technology Journal
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The process of morphogenesis is a natural example of genotype to phenotype mapping. As such it is relevant to evolutionary computation. A simulation of morphogenesis and cell interaction is presented, which allows embryogenesis to be addressed as an engineering problem. A space of cell control functions is defined by identifying the controlling variables and the degrees of freedom of each individual cell. These functions receive inputs dependent on a cell's context, and determine its responses to that context. Multiple cells are coupled through a simulation of a 3-D reaction-diffusion fluid matrix in order to generate interactive behaviour. The parameterised control function for the individual cells is tuned using a genetic algorithm to maximise the fitness of their collective behaviour. With use of an appropriate fitness function, the simulation is capable of producing the forms of early embryogenesis.