BOOK
Bio-Inspired Computing Machines
Toward Novel Computational Architectures
TITLE
AUTHORS
Daniel Mange and Marco Tomassini (Eds.)
D. Mange, professor at the Swiss Federal Institute of Technology
M. Tomassini, professor at the University of Lausanne
PUBLISHER
Presses polytechniques et universitaires romandes, Lausanne
TO ORDER
BACK-COVER TEXT
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.
TABLE OF CONTENTS
|
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Preface
|
1 |
|
An Introduction to Bio-Inspired Machines |
2 |
|
An Introduction to Digital Systems |
3 |
|
An Introduction to Cellular Automata |
4 |
|
Evolutionary Algorithms and their Applications |
5 |
|
Programming Cellular Machines by Cellular Programming |
6 |
|
Multiplexer-Based Cells |
7 |
|
Demultiplexer-Based Cells |
8 |
|
Binary Decision Machine-Based Cells |
9 |
|
Self-Repairing Molecules and Cells |
10 |
|
L-hardware: Modeling and Implementing Cellular Development using
L-systems |
11 |
|
Artificial Neural Networks: Algorithms and Hardware Implementation |
12 |
|
Evolution and Learning in Autonomous Robotic Agents
|
|
|
Bibliography |
|
|
Index |
Last updated: April 1998
In case of problems with this site, please contact www_adm@lslsun.epfl.ch
Responsible editor: Prof. Marco Tomassini
Logic Systems Laboratory, http://lslwww.epfl.ch |