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Science / Cybernetics / Cultured neuronal network / Biological neural network / Belousov–Zhabotinsky reaction / Action potential / Computational neuroscience / Neural networks / Neuroscience


Bull, L., Budd, A., Stone, C., Uroukov, I., Costello, B. d. L. and Adamatzky, A[removed]Towards unconventional computing through simulated evolution: Control of nonlinear media by a learning classifier system. Artificial
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Document Date: 2014-06-06 10:35:46


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Bristol / /

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Multichannel Systems Ltd. / Life Technologies / Panasonic / New Brunswick Scientific Co. Inc. / Brinsea Ltd. / Leica Co. / /

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Germany / Netherlands / United Kingdom / /

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mm square / Andrew Adamatzky** University / England Ivan Uroukovy University / Massachusetts Institute of Technology Artificial Life / England Christopher Stone** University / England Adam Budd** University / England Ben de Lacy Costelloy University / /

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chemical systems / stock solution / bistable mass-coupled chemical reactors / mass-coupled chemical reactors / catalyst-free reaction solution / chemical system / acidified silicate solution / chemical experiments / coupled chemical reactors / biological systems / neural networks / appropriate networks / continuously-fed reaction solution / large networks / chemical activity / data mining / chemical wave activity / subsequent image processing / chemical computing aspect / programmable parallel processor / real chemical system / in vitro neuronal networks / simulated chemical system / coupled oscillating systems / chemical wave fragments / penicillin-streptomycin solution / Evolutionary algorithms / chemical species / neuronal networks / nonlinear media / chemical computing / nonlinear computing / given network / real chemical systems / neuronal network / unconventional computing / reaction-diffusion systems / chemical reactions / bistable chemical system / approach by which networks / genetic algorithm / bistable systems / cultured neuronal network / hybrid wetware-silicon devices / reaction solution / heterogeneous network / bistable nonlinear chemical reaction / purchased sodium silicate solution / modeled chemical system / cultured neuronal networks / image processing / pattern recognition device / learned stimulation protocols / chemical diodes / image processing task / reactor systems / computing / sodium silicate solution / learning protocol / neuronal computing / multi-electrode hardware / in vitro networks / learning algorithms / /

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University of the West of England / Massachusetts Institute of Technology / Faculty of Applied Sciences / University of the West of England Abstract We / Institute of Technology Artificial Life / Faculty of Computing / Engineering & Mathematics / US Federal Reserve / Andrew Adamatzky** University of the West of England Keywords Chemical / /

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Adam Budd / Andrew Adamatzky / Christopher Stone / /

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Corresponding author / fragment controller / XCS controller / /

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sodium chloride / balanced salt / /

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C / J / /

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Georgia / Massachusetts / /

Technology

learning protocol / Av / 3.2 Evolutionary Algorithm / genetic algorithm / Machine learning / 2008 Massachusetts Institute of Technology / digital video / image processing / process control / programmable parallel processor / neural network / artificial intelligence / learned stimulation protocols / data mining / simulation / /

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