|Short Book Reviews and Comments|
These are short comments and reviews on my book some of my readers were kind enough to send me. They are very important to me and I cherish every word. Thank you so much for your support and encouragement! As usual, I removed any references that could identify the people involved.
I only came across GEP a couple of weeks ago. I
am fascinated by it – it makes sense and seems to be very powerful. I
also found out that some friends of mine have already implemented it and
are obtaining good results (rapid solutions, minimal "bloat").
One thing I really value about this
book is the biology in the beginning – substantial, but written from a
perspective which helps a computer scientist understand the essentials.
You are uniquely positioned in the field for this!
I think GEP is great, and I would
like to see the EC field get into it sooner than of course will
eventually occur anyway! The key innovation of GEP – the
genotype/phenotype pair and the fact that all genotypes decode to
syntactically legal phenotypes – is too good to be ignored.
Your book is terrific – very well written
and organized. Everything just flows so smoothly, it reads like a novel.
The only algorithm I had a little trouble understanding was polynomial
induction, but I got there in the end and, wow, these structures can
grow! And the chapters on neural networks and decision trees, I just
love them – you explain them quite nicely. I’ve always had trouble
figuring out what exactly a neural network is and now I can finally say
I really understand them – I’m even thinking of implementing one myself!
I’ve been following with much interest
your GEP approach since you first announced it online in 2000 and I had
a feeling at the time that something major was about to happen in AI.
Your book didn’t disappoint in that regard – it’s really amazing the
stuff one can do with GEP and how simple you make everything look. I
just had to go and implement it myself – I think I’m hooked! Thanks!!
Last update: 23/July/2013
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