Evolving Morphologies of Simulated 3d Organisms Based on Differential Gene Expression

Most simulations of biological evolu tion depend on a rather restricted set of properties In this paper a richer model based on di erential gene expres sion is introduced to control develop mental processes in an arti cial evolu tionary system Di erential gene expres sion is used to get di erent cell types and to modulate cell division and cell death One of the advantages using developmental processes in evolutionary systems is the reduction of the informa tion needed in the genome to encode e g shapes or cell types which results in bet ter scaling behavior of the system My result showed that the shaping of multi cellular organisms in d is possible with the proposed system

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