Abstract
In this chapter we modify the implementation of our TWEANN system, making all its parts decoupled from one another. By doing so, the plasticity functions, the activation functions, the evolutionary loops, the mutation operators… become independent, each called and referenced through its own modules and function names, and thus allowing for our system to be crowd-sourced, letting anyone have the ability to modify and add new activation functions, mutation operators, and other features, without having to modify or augment any other part of the TWEANN. This effectively makes our system more scalable, and easier to augment, advance, and improve in the future.
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Source code for each chapter can be found here: https://github.com/CorticalComputer/Book_NeuroevolutionThroughErlang
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Sher, G.I. (2013). Decoupling & Modularizing Our Neuroevolutionary Platform. In: Handbook of Neuroevolution Through Erlang. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-4463-3_11
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DOI: https://doi.org/10.1007/978-1-4614-4463-3_11
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Print ISBN: 978-1-4614-4462-6
Online ISBN: 978-1-4614-4463-3
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