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

Siraaj Khandkar siraaj@REDACTED
Sun Nov 11 08:51:03 CET 2012

Had it on pre-order since original announcement. Congrats on the release!!

On 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

Siraaj Khandkar

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