1 research outputs found
The Environment and Body-Brain Complexity
An open question for both natural and artificial evolutionary systems is how, and under what environmental and evolutionary conditions complexity evolves. This study investigates the impact of
increasingly complex task environments on the evolution of robot complexity. Specifically, the impact of evolving body-brain
couplings on locomotive task performance, where robot evolution
was directed by either body-brain exploration (novelty search) or
objective-based (fitness function) evolutionary search. Results indicated that novelty search enabled the evolution of increased robot
body-brain complexity and efficacy given specific environment
conditions. The key contribution is thus the demonstration that
body-brain exploration is suitable for evolving robot complexity
that enables high fitness robots in specific environments