Two major goals in machine learning are the discovery and improvement of solutions to complex problems. In this paper, we argue that complexification, i.e. the incremental elaboration of solutions through adding new structure, achieves both these goals. ...
Evolution of software systems can be conceived from the Theory of Systems as a maturation process in which the developer have an active participation. This paper presents a two levels architecture: system and Meta-system. The developer interacts with ...
Evolutionary algorithms have previously been applied to the design of morphology and control of robots. The design space for such tasks can be very complex, which can prevent evolution from efficiently discovering fit solutions. In this article we ...
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