[erlang-questions] eBook version of the Handbook of Neuroevolution Through Erlang, is now available from Springer.

Zephyr Pellerin <>
Mon Dec 10 02:30:58 CET 2012

Amazing! I will gladly buy this book from Amazon!

On Sun, Dec 9, 2012 at 3:02 AM, Francesco Cesarini
<> wrote:
> Well done! As someone who always felt Erlang was a perfect match for certain
> branches of AI, I'm really excited to see this work in print. Hope others
> follow your example and get even more Erlang books written.
> F
> Gene Sher <> wrote:
>> Hello Everyone,
>> Quick update: I've recently convinced Springer to provide a discount. They
>> are offering 20% discount, with the discount code embedded in the following
>> link, good until 12/31:
>> http://www.springer.com/computer/swe/book/978-1-4614-4462-6?token=DWw53HF6DtywP8y
>> Also, if you have a University nearby, you can get a copy for just 25$,
>> since Springer primarily deals with Universities and their Libraries, your
>> library and SpringerLink might already have access to the eBook. If you have
>> access to SpringerLink, you can alternatively order a "MyCopy", a soft-cover
>> version (black & white, rather than color) for $24.95.
>> Best regards,
>> -Gene
>> On Sun, Nov 11, 2012 at 12:02 AM, Gene Sher <>
>> wrote:
>>> Hello Erlangers,
>>> The eBook version of my the Handbook of Neuroevolution Through Erlang, is
>>> now in print: http://www.springer.com/computer/swe/book/978-1-4614-4462-6
>>> The Hardcover book will be available within the next 2-3 weeks from
>>> Amazon, Barnes & Noble, and Springer directly.
>>> Book overview:
>>> Provides a friendly step-by-step guide on the construction of Topology
>>> and Weight Evolving Artificial Neural Network systems from start to finish
>>> Covers novel material for using Erlang in the construction of TWEANN
>>> systems
>>> Explains why Neural Network based Computational Intelligence systems map
>>> perfectly to Erlang’s architecture, and the importance of this programming
>>> language to the future of computational intelligence
>>> Introduces new TWEANN algorithms, with the final result being a
>>> concurrent, cutting edge, direct and indirect encoded, plasticity enabled,
>>> TWEANN platform
>>> Handbook of Neuroevolution Through Erlang presents both the theory
>>> behind, and the methodology of, developing a neuroevolutionary-based
>>> computational intelligence system using Erlang. With a foreword written by
>>> Joe Armstrong, this handbook offers an extensive tutorial for creating a
>>> state of the art Topology and Weight Evolving Artificial Neural Network
>>> (TWEANN) platform. In a step-by-step format, the reader is guided from a
>>> single simulated neuron to a complete system. By following these steps, the
>>> reader will be able to use novel technology to build a TWEANN system, which
>>> can be applied to Artificial Life simulation, and Forex trading. Because of
>>> Erlang’s architecture, it perfectly matches that of evolutionary and
>>> neurocomptational systems. As a programming language, it is a concurrent,
>>> message passing paradigm which allows the developers to make full use of the
>>> multi-core & multi-cpu systems. Handbook of Neuroevolution Through Erlang
>>> explains how to leverage Erlang’s features in the field of machine learning,
>>> and the system’s real world applications, ranging from algorithmic financial
>>> trading to artificial life and robotics.
>>> It covers in detail the subject of Neuroevolution, its applications, why
>>> Erlang is the quintessential neural network programming language, and the
>>> construction of DXNN2: https://github.com/CorticalComputer/DXNN2
>>> A robust, purely Erlang, Topology and Weight Evolving Artificial Neural
>>> Network platform, capable of evolving direct and indirect systems, with and
>>> without plasticity, and a hierarchical structure that yields easily to allow
>>> one to develop self-repairing intelligent agents.
>>> Best regards,
>>> -Gene
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