Reservoir Computing as a model for in materio computing

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Title of host publicationAdvances in Unconventional Computing
DatePublished - 2017
Pages533-571
PublisherSpringer
EditorsAndrew Adamatsky
Volume1
Original languageEnglish
ISBN (Electronic)978-3-319-33924-5

Abstract

Research in substrate-based computing has shown that materials contain rich properties that can be exploited to solve computational problems. One such technique known as Evolution-in-materio uses evolutionary algorithms to manipulate material substrates for computation. However, in general, modelling the computational processes occurring in such systems is a difficult task and understanding what part of the embodied system is doing the computation is still fairly ill-defined. This chapter discusses the prospects of using Reservoir Computing as a model for in materio computing, introducing new training techniques (taken from Reservoir Computing) that could overcome training difficulties found in the current Evolution-in-Materio technique.

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