Investigating the effect of regulatory decisions in a development model

Artificial development has been introduced by many as a means to simplify the genome of the evolutionary process and thus aid scalability of evolutionary techniques. However, this simplicity in the genome comes at the cost of complexity in the mapping. This is perhaps not so surprising when we look to biology and the complicated process of gene regulation. However, creating an artificial representation of this complicated process is far from straight forward. To simplify such a process, we need to acquire knowledge and define some form of rules to guide the creation of development models. The work presented herein investigates an existing development model, identifying which factors in the model are part of the regulatory decisions. Further, experimental work looks more closely at protein pre-conditions within the model. The results form the basis for more generalised preliminary rules for protein pre-conditions creation.