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Illustrating Evolutionary Computation With Mathematica

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Title: Illustrating Evolutionary Computation With Mathematica
by Christian Jacob
ISBN: 1-55860-637-8
Publisher: Morgan Kaufmann Publishers
Pub. Date: 01 February, 2001
Format: Hardcover
Volumes: 1
List Price(USD): $69.95
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Average Customer Rating: 4.4 (5 reviews)

Customer Reviews

Rating: 2
Summary: Lacks depth but ok for learning to program EAs
Comment: This book is poorly structured and lacks depth. It trivialises aspects of EAs, especially representational issues. I understand the emphasis is on teaching the reader how to program GAs using mathematica but I would not recommend this book as an introduction to GAs. The visualisation aspects of Mathematica applied to EAs are useful, but I would definitely recommend Melanie Mitchell's Introduction to Genetic Algorithms or one of Koza's books for those interested in GP.

Rating: 5
Summary: Incredible literary intro to an awesome field
Comment: As a Mechanical Engineer with just a side interest in AI, I find most books in this field need heavy attention after the first few pages. Not so with this one. Its a great piece of work. I was kind of skeptical at first since this is billed as a translation from German, but it reads really well... and once you get the notebooks in Mathematica...its almost imposible to get anything else done, youll be hooked. Looking forward to more titles in this field from Jacob.

Rating: 5
Summary: Extremely interesting--variety of applications and quite !
Comment: I am quite satisified with what I am reading. As a non-scientist, I can see how this evolutionary theory and this particular theory relates to life in general and its applications and conditions. The introduction is quite important and explains how the theory of evolution (correct or not is not necessary) is used to help with mathematical computations and solve mathematical problems.

What is implied in Christian Jacob's book is quite broad and revolutionary. In color plate 2, page 288, "independent populations climbing peaks" reminds me of the recent findings of a particular species of parrot (thought extinct in South America since 1910)living currently on some Volcano in South America by residents there by accident. Yet, through evolutionary models, one can track species and perhaps any existence.

What is most interesting is what is implied--that tracking can be used to oppress or cause extinctions (such as poaching) and so it could be implied that randomness would occur by species under these conditions to avoid tracking such as avoiding evolutionary tracking. Randomness would therefore be an evolutionary process to survive. Finding randomness could suggest a species or whatever is possibly trying to avoid being tracked through evolutionary tracking. Evolutionary tracking is relatively new and so this is why there is perhaps little randomness (or maybe none has been discovered yet), but randomness is a possibility that seems to be a probable result and not clearly an original play--since so far, not much randomness if any has been found.

If one turns Color Plate 3 on page 289 upside down, one is perhaps presented with an ocean. Recently, life that does not need oxygen to exist has been found living deep in an ocean. The life was most likely dicovered without using evolutionary tracking models, though the models would suggest something is there though what has evolved or not is not clear and would need more elaborate formulas and charts of various sorts. That ocean life found uses other sources as reported by this science news wire:
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So, Color Plate 3 is quite interesting as it would suggest that in addition to the findings of the scientists, there are at least two other entities there they have not discovered...

It is as though the models and formulas can be applied in a variety of instances due to lack of randomness and that evolutionary tracking has so far not been avoided with randomness...

This suggests early birth of Earth and evolution of all or most species and things on Earth, evolutionary tracking not done until recently by Earthlings or others, or that evolutionary tracking so far is used for good and not to cause extinction or disruption...

I would say the book is written for scientists mainly and there are a number of formulas, but they do apply to the humanities.

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