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Advances in Unconventional Computing

Volume 2: Prototypes, Models and Algorithms

  • Book
  • © 2017

Overview

  • representatives, and general public
  • The book is an encyclopedia in unconventional computing -- the interdisciplinary science aimed to exploit principles of information processing in and functional properties of physical, chemical and living systems to develop efficient algorithms, design optimal architectures and manufacture working prototypes of future and emergent computing devices
  • The book advances topics of theory of computation, nature-inspired algorithms, chemical and biological prototypes of unconventional computing devices, synthetic biology, non-standard mathematics, nanocomputing, novel hardware, future and emergent computing technologies, self-organization, mathematical machines, and automata
  • The book is comprised of unique contributions prepared by world leading experts in computer science, hardware, physics, chemistry, biology, nano-technology, engineering
  • The book is very well illustrated: many graphical examples appeal not only to scientists but engineers, industry
  • Includes supplementary material: sn.pub/extras

Part of the book series: Emergence, Complexity and Computation (ECC, volume 23)

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Table of contents (31 chapters)

Keywords

About this book

The unconventional computing is a niche for interdisciplinary science, cross-bred of computer science, physics, mathematics, chemistry, electronic engineering, biology, material science and nanotechnology. The aims of this book are to uncover and exploit principles and mechanisms of information processing in and functional properties of physical, chemical and living systems to develop efficient algorithms, design optimal architectures and manufacture working prototypes of future and emergent computing devices.

This second volume presents experimental laboratory prototypes and applied computing implementations.  Emergent molecular computing is presented by enzymatic logical gates and circuits, and DNA nano-devices. Reaction-diffusion chemical computing is exemplified by logical circuits in Belousov-Zhabotinsky medium and geometrical computation in precipitating chemical reactions. Logical circuits realised with solitons and impulses in polymer chains show advances in collision-based computing. Photo-chemical and memristive  devices give us a glimpse on  hot topics of a novel hardware. Practical computing is represented by algorithms of collective and immune-computing and nature-inspired optimisation.  Living computing devices are implemented in real and simulated cells, regenerating organisms, plant roots and slime mould.

The book is the encyclopedia, the  first ever complete authoritative account, of the theoretical and experimental findings in the unconventional computing written by the world leaders in the field. All chapters are self-contains, no specialist background is required to appreciate ideas, findings, constructs and designs presented.  This treatise in unconventional computing appeals to readers from all walks of life, from high-school pupils to university professors, from mathematicians, computers scientists and engineers to chemists and biologists.



Editors and Affiliations

  • Unconventional ComputingCentre, University of the Westof England Unconventional ComputingCentre, Bristol, United Kingdom

    Andrew Adamatzky

Bibliographic Information

  • Book Title: Advances in Unconventional Computing

  • Book Subtitle: Volume 2: Prototypes, Models and Algorithms

  • Editors: Andrew Adamatzky

  • Series Title: Emergence, Complexity and Computation

  • DOI: https://doi.org/10.1007/978-3-319-33921-4

  • Publisher: Springer Cham

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer International Publishing Switzerland 2017

  • Hardcover ISBN: 978-3-319-33920-7Published: 08 August 2016

  • Softcover ISBN: 978-3-319-81632-6Published: 07 June 2018

  • eBook ISBN: 978-3-319-33921-4Published: 26 July 2016

  • Series ISSN: 2194-7287

  • Series E-ISSN: 2194-7295

  • Edition Number: 1

  • Number of Pages: IX, 812

  • Number of Illustrations: 194 b/w illustrations, 234 illustrations in colour

  • Topics: Computational Intelligence, Complexity, Artificial Intelligence

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