Bio-inspired computing machines: towards novel computational architectures
Presses polytechniques et universitaires romandes, 1998 - Cellular automata - 372 pages
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.
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Evolutionary Robotics: The Biology, Intelligence, and Technology of Self ...
Stefano Nolfi,Dario Floreano
No preview available - 2000
An Introduction to BioInspired Machines
An Introduction to Digital Systems
An Introduction to Cellular Automata
10 other sections not shown
LNCS 3853 - Bio-inspired Computing Machines with Self-repair ...
Bio-inspired Computing Machines with. Self-repair Mechanisms. Andre Stauffer, Daniel Mange, and Gianluca Tempesti. Ecole polytechnique federale de Lausanne ...
www.springerlink.com/ index/ f7mn81773l002048.pdf
Bio-Inspired Computing Tissues: Towards Machines that Evolve, Grow ...
IPCAT’2001, April 24, 2001. Bio-Inspired Computing Tissues:. Towards Machines that Evolve, Grow, and Learn. C. Teuscher, D. Mange, A. Stauffer, ...
www.teuscher.ch/ christof/ download/ papers/ teuscher01_ipcat01.pdf
Bio-Inspired Computing Machines - 2-88074-371-0 - Presses ...
Bio-Inspired Computing Machines. logo. Bio-Inspired Computing Machines. Author:. D. Mange. ISBN-10: 2-88074-371-0. ISBN-13: 978-2-88074-371-0 ...
www.polymtl.ca/ pub/ doc.php?id=5584&
Biosystems : Bio-inspired computing tissues: towards machines that ...
D. Mange and M. Tomassini, Editors, Bio-Inspired Computing Machines: Towards Novel Computational Architectures, Presses Polytechniques et Universitaires ...
linkinghub.elsevier.com/ retrieve/ pii/ S0303264702001004
Infoscience: Record #28567: Bio-Inspired Computing Machines
infoscience. subtitle. Français | English. EPFL > infoscience > Record #28567: Bio-Inspired Computing Machines. My actions. Identification. Identification ...
infoscience.epfl.ch/ record/ 28567
Some Applications of fpgas in Bio-Inspired Hardware
Some Applications of fpgas in Bio-Inspired Hardware. Andr e Stauer, Moshe Sipper, and Andr es P erez-Uribe. Logic Systems Laboratory, Swiss Federal ...
ieeexplore.ieee.org/ iel4/ 5734/ 15334/ 00707915.pdf?arnumber=707915
DBLP: Daniel Mange
2008. 47 · André Stauffer, Daniel Mange, Joël Rossier: Bio-Inspired Data and Signals Cellular Systems. BIOSIGNALS (1) 2008: 203-207 ...
www.informatik.uni-trier.de/ ~ley/ db/ indices/ a-tree/ m/ Mange:Daniel.html
Prof. Moshe Sipper
department of computer science in university ben-gurion of negev
www.cs.bgu.ac.il/ faculty/ person/ sipper.html
Moshe Sipper, Publications
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