"An honest attempt to discuss what few people seem to realize is an important problem. Thought provoking!"
Gregory Chaitin
Professor, Federal University of Rio de Janeiro, Brazil
"With
penetrating brilliance, and with a masterful exercise of pedagogy and
wit, the authors take on Chaitin's challenge, that Darwin's theory
should be subjectable to a mathematical assessment and either pass or
fail. Surveying over seven decades of development in algorithmics and
information theory, they make a compelling case that it fails."
Bijan Nemati
Jet Propulsion Laboratory, California Institute of Technology, USA
"Introduction to Evolutionary Informatics
is a lucid, entertaining, even witty discussion of important themes in
evolutionary computation, relating them to information theory. It's far
more than that, however. It is an assessment of how things might have
come to be the way they are, applying an appropriate scientific
skepticism to the hypothesis that random processes can explain many
observed phenomena. Thus the book is appropriate for the expert and
non-expert alike."
Donald Wunsch
Distinguished Professor and Director of the Applied Computational Intelligence Lab
Missouri University of Science & Technology, USA
"Darwinian
pretensions notwithstanding, Marks, Dembski, and Ewert demonstrate
rigorously and humorously that no unintelligent process can account for
the wonders of life."
Michael J Behe
Professor of Biological Sciences, Lehigh University, USA
"A
very helpful book on this important issue of information. Information
is the jewel of all science and engineering which is assumed but barely
recognised in working systems. In this book Marks, Dembski and Ewert
show the major principles in understanding what information is and show
that it is always associated with design."
Andy C McIntosh
Visiting Professor of Thermodynamics, School of Chemical and Process Engineering, University of Leeds, LEEDS, UK
"Though
somewhat difficult, Marks, Dembski and Ewert have done a masterful job
of making the book accessible to the engaged and thoughtful layperson. I
could not endorse this book more highly."
J P Moreland
Distinguished Professor of Philosophy, Biola University, USA
"This is an important and much needed step forward in making powerful concepts available at an accessible level."
Ide Trotter
Trotter Capital Management Inc.
Founder of the Trotter Prize & Endowed Lecture Series on Information, Complexity and Inference (Texas A&M, USA)
"This
is a fine summary of an extremely interesting body of work. It is
clear, well-organized, and mathematically sophisticated without being
tedious (so many books of this sort have it the other way around). It
should be read with profit by biologists, computer scientists, and
philosophers."
David Berlinski
"Evolution
requires the origin of new information. In this book, information
experts Bob Marks, Bill Dembski, and Winston Ewert provide a
comprehensive introduction to the models underlying evolution and the
science of design. The authors demonstrate clearly that all evolutionary
models rely implicitly on information that comes from intelligent
design, and that unguided evolution cannot deliver what its promoters
advertise. Though mathematically rigorous, the book is written primarily
for non-mathematicians. I recommend it highly."
Jonathan Wells
Senior Fellow, Discovery Institute
"Introduction to Evolutionary Informatics
helps the non-expert reader grapple with a fundamental problem in
science today: We cannot model information in the same way as we model
matter and energy because there is no relationship between the metrics.
As a result, much effort goes into attempting to explain information
away. The authors show, using clear and simple illustrations, why that
approach not only does not work but [that it also] impedes understanding
of our universe."
Denyse O'Leary, Science Writer
