Gabriele M. T. D’Eleuterio

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A novel genetic algorithm for evolving both uniform and nonuniform cellular automata (CA) to perform user-defined computations is presented. Unlike previous approaches, the CAs evolved here can in general take as their input and their output only a subset of the cells, allowing for the design of CAs that are larger than the number of inputs required by the(More)
The emergence of symbolic communication is often cited as a critical step in the evolution of Homo sapiens, language, and human-level cognition. It is a widely held assumption that humans are the only species that possess natural symbolic communication schemes, although a variety of other species can be taught to use symbols. The origin of symbolic(More)
Virtual laboratories and remote access to experimental hardware have become feasible with the advent of high-level web-based languages and communication protocols. In this paper, we introduce an international co-operation, the principal objective of which is to develop a Virtual Laboratory for tele-education and research in aerospace and mechatronics. The(More)
Abstract. A scalable architecture to facilitate emergent (self-organized) task decomposition using neural networks and evolutionary algorithms is presented. Various control system architectures are compared for a collective robotics (3 × 3 tiling pattern formation) task where emergent behaviours and effective task -decomposition techniques are necessary to(More)
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