BIO-INSPIRED COMP.MACHINE - daniel mange

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Résumé :
This volume, written by experts in the field, gives a modern, rigorous and unified presentation of the application of biological concepts to the design of novel computing machines and algorithms. While science has as its fundamental goal the understanding of Nature, the engineering disciplines attempt to use this knowledge to the ultimate benefit of Mankind. Over the past few decades this gap has narrowed to some extent. A growing group of scientists has begun engineering artificial worlds to test and probe their theories, while engineers have turned to Nature, seeking inspiration in its workings to construct novel systems. The organization of living beings is a powerful source of ideas for computer scientists and engineers. This book studies the construction of machines and algorithms based on natural processes: biological evolution, which gives rise to genetic algorithms, cellular development, which leads to self-replicating and self-repairing machines, and the nervous system in living beings, which serves as the underlying motivation for artificial learning systems, such as neural networks.

Biographie:
Daniel Mange received the M. S. and Ph. D. degrees from the Swiss Federal Institute of Technology, Lausanne, Switzerland. Since 1969, he has been a Professor at the Swiss Federal Institute of Technology. He held a position as Visiting Professor at the Center for Reliable Computing, Stanford University, Stanford, CA, in 1987.He is Director of the Logic Systems Laboratory and his chief interests include firmware theory (equivalence and transformation between hardwired systems and programs), cellular automata, artificial life, and embryonics (embryonic electronics). Marco Tomassini is Professor of Computer Science at the University of Lausanne and Professor of Technology of New Media at the University of Lugano. His research interests include bio-inspired techniques, such as evolutionary algorithms and artificial neural networks, as well as heuristics, machine learning, and knowledge discovery. He is also involved in the study of complex systems of agents in the physical sciences, in economics, and in information and communication webs.

Sommaire:
["An introduction to bio-inspired machines","An introduction to digital systems","An introduction to cellular automata","Evolutionary algorithms and their applications","Programming cellular machines by cellular programming","Multiplexer-based cells","Demultiplexer-based cells","Binary decision machine-based cells","Self-repairing molecules and cells","L-hardware: modeling and implementing cellular development using L-systems","Artificial neural networks: algorithms and hardware implementation","Evolution and learning in autonomous robotic agents"]