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Bio-Inspired Computing Machines
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Bio-Inspired Computing Machines

Bio-Inspired Computing Machines

Towards novel computational architectures

Daniel Mange, Marco Tomassini

384 pages, parution le 01/05/1998

Résumé

Subject


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.


Originality


This book is unique for the following reasons: It follows a unified approach to bio-inspiration based on the so-called POE model: phylogeny (evolution of species), ontogeny (development of individual organisms), and epigenesis (life-time learning). It is largely self-contained, with an introduction to both biological mechanisms (POE) and digital hardware (digital systems, cellular automata). It is mainly applied to computer hardware design.


Public


Undergraduate and graduate students, researchers, engineers, computer scientists, and communication specialists.


Contents


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 - Bibliography - Index.


L'auteur - Daniel Mange

Autres livres de Daniel Mange

Caractéristiques techniques

  PAPIER
Éditeur(s) Presses Polytechniques et Universitaires Romandes (PPUR)
Auteur(s) Daniel Mange, Marco Tomassini
Parution 01/05/1998
Nb. de pages 384
Format 16 x 24
Couverture Broché
Poids 710g
EAN13 9782880743710

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