We introduce a genetic programming (GP) approach for evolving genetic networks that demonstrate desired dynamics when simulated as a discrete stochastic process. Our representation...
— Active perception refers to a theoretical approach to the study of perception grounded on the idea that perceiving is a way of acting, rather than a cognitive process whereby t...
Evolutionary Computation has demonstrated the ability to design novel and interesting objects. Such objects are increasingly being assembled in the physical world, albeit with some...
Current aspect-oriented programming (AOP) enhances maintainability and comprehensibility by modularizing concerns crosscutting multiple components but lacks the support for the hie...
We present a system that can evolve the morphology and the controller of virtual walking and block-throwing creatures (catapults) using a genetic algorithm. The system is based on ...