🚀 go-pugleaf

I work with the publishing company Springer-Verlag, and I just wanted to
point out a new book which people may be interested in.

The book is called "Introduction To Artificial Life",  by Chris Adami of the
WK Kellogg Radiation Lab at the California Institute of Technology, Pasadena.
Below is a brief description of the book. For more information, please see
this URL: http://www.telospub.com/catalog/PHYSICS/ALife.html

"Introduction to Artificial Life" is a book and CD-ROM package that was
developed in a lab-oriented course taught at Cal Tech in 1995 and 1996, and
simultaneously augmented by ALife research conducted there. The courses have
been attended by an interdisciplinary group of students from backgrounds in
physics, computer science, and the computational neural sciences.
Prerequisite understanding of statistical physics and thermodynamics, basic
biology, as well as familiarity with computer architectures and scientific
computing techniques are assumed. The project is an attempt to bring together
the necessary theoretical groundwork for understanding the dynamics of
systems of self-replicating information, as well as the result from initial
experiments carried out with artificial living systems based on this
paradigm. Its intent, in providing this interplay between theory and
experiment, is to lead us further along the road to discover not only the
general principles of the living state, but also to uncover aspects of this
complex system that has remained hidden, or misunderstood, because of the
impossibility to heretofore perform dedicated experiments. The CD-ROM
contains the 1.0 Version of Avida Artificial Life software designed to carry
out dedicated computational experiments. The CD also contains a Java applet
for doing Cellular Automata homework, plus HTML hyperlinks to Alife-based Web
and other programs. November 1997/Hardcover/402 pages, includes
CD-ROM/$59.95/ISBN 0-387-94646-2

Table of Contents:

Preface Chapter 1  Flavors of Artificial Life
Chapter 2  Artificial Chemistry and Self-Replicating Code
Chapter 3  Introduction to Information Theory
Chapter 4  Statistical Mechanics and Thermodynamics
Chapter 5  Complexity of Simple Living Systems
Chapter 6  Self-Organization to Criticality
Chapter 7 Percolation
Chapter 8 Fitness Landscapes
Chapter 9 Experiments with Avida
Chapter 10 Propagation of Information
Chapter 11 Adaptive Learning at the Error Threshold
A. Avida User�s Manual

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