In this paper, we aim to design decision-making mechanisms for a simulated Khepera robot equipped with simple sensors, which integrates over time its perceptual experience in order...
Abstract-- Understanding the evolvability of simple differentiating multicellular systems is a fundamental problem in the biology of genetic regulatory networks and in computationa...
Johannes F. Knabe, Chrystopher L. Nehaniv, Maria J...
We investigate the use of an unsupervised artificial neural network to form a sparse representation of the underlying causes in a data set. By using fixed lateral connections that...
Abstract— This paper presents a study on exploiting the redundancy of a seven-link manipulator to evolve obstacle avoidance skill at the elbow, subjected to endeffector working ...
Thirteen years have passed since Karl Sims published his work on evolving virtual creatures. Since then, several novel approaches to neural network evolution and genetic algorithm...