Emergent computation
Computation at the edge of Chaos: phase transitions and emergent computation
Emergent computation
Building Complex Systems Using Developmental Process: An Engineering Approach
ICES '98 Proceedings of the Second International Conference on Evolvable Systems: From Biology to Hardware
Environment as a spatial constraint on the growth of structural form
Proceedings of the 9th annual conference on Genetic and evolutionary computation
Measures of complexity for artificial embryogeny
Proceedings of the 10th annual conference on Genetic and evolutionary computation
A dynamical systems perspective on agent-environment interaction
Artificial Intelligence
Biologically inspired evolutionary development
ICES'03 Proceedings of the 5th international conference on Evolvable systems: from biology to hardware
On the correlations between developmental diversity and genomic composition
Proceedings of the 13th annual conference on Genetic and evolutionary computation
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In this paper we measure genomic properties in EvoDevo systems, to predict emergent phenotypic characteristic of artificial organisms. We describe and compare three parameters calculated out of the composition of the genome, to forecast the emergent behavior and structural properties of the developed organisms. The parameters are each calculated by including different genomic information. The genotypic information explored are: purely regulatory output, regulatory input and relative output considered independently and an overall parameter calculated out of genetic dependency properties. The goal of this work is to gain more knowledge on the relation between genotypes and the behavior of emergent phenotypes. Such knowledge will give information on genetic composition in relation to artificial developmental organisms, providing guidelines for construction of EvoDevo systems. A minimalistic developmental system based on Cellular Automata is chosen in the experimental work.