Goal-driven design in a bio-inspired system

This is then used to create a framework for implementing the goal using a system comprised of four parts - the goal, objectives, measurables called logics and actionables, the components which do the work.<br><br>The second major question addressed focuses on how to analyse and evaluate parameters within an exploratory environment where the model may not be complete. Two new concepts are developed and introduced here: restriction – a decision point, and misfit – a set of measurables.

Combined they provide the design system with a quantifiable reference of the goal, helping to influence growth direction within an exploratory algorithm.<br>The final implementation is demonstrated using a bio-inspired design system and the novel methodology of gene regulation. Here the growth isn’t changed directly by analysis but influenced through design strategies which explore the design space. These strategies are implemented and adapted through the misfit function which is derived from the goal.

This helps to ensure that the design follows unique paths, leaving room for emergence, and yet is still heading towards the goal, producing a feasible solution.<br><br>