The reward functions that drive reinforcement learning systems are generally derived directly from the descriptions of the problems that the systems are being used to solve. In so...
Following last three years' RAM-SE (Reflection, AOP and Meta-Data for Software Evolution) workshop at the ECOOP conference, the RAM-SE'07 workshop was a successful and po...
Manuel Oriol, Walter Cazzola, Shigeru Chiba, Gunte...
This paper describes a new FPGA implementation of a system for evolutionary image filter design. Three parallel search algorithms are compared. An optimal mutation rate and the q...
A data-flow network-based interactive evolutionary design framework is presented which will provide a testbed for the development and exploration of a diverse range of visual arti...
In this paper, we present the H-Change methodology we have specifically conceived for evolving independent ontologies in open networked systems. Furthermore, we describe the change...