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Inspired by Nature

Essays Presented to Julian F. Miller on the Occasion of his 60th Birthday

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  • © 2018

Overview

Editors:
  1. Susan Stepney

    1. Department of Computer Science, University of York, York, United Kingdom

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    You can also search for this editor in PubMed   Google Scholar

  2. Andrew Adamatzky

    1. Unconventional Computing Centre, University of the West of England, Bristol, United Kingdom

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    You can also search for this editor in PubMed   Google Scholar

  • Includes leading international experts’ insights into the principles of information processing and optimization in simulated and experimental living, physical and chemical substrates
  • Presents a tribute to Julian Francis Miller’s ideas and achievements in computer science, evolutionary algorithms and genetic programming, electronics, unconventional computing, artificial chemistry, and theoretical biology
  • Is a pleasure to explore for readers from all walks of life, from undergraduate students to university professors, from mathematicians, computers scientists, and engineers to chemists and biologists
  • Includes supplementary material: sn.pub/extras

Part of the book series: Emergence, Complexity and Computation (ECC, volume 28)

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Table of contents (17 chapters)

  1. Front Matter

    Pages i-x
    Download chapter PDF

  3. Cartesian Genetic Programming Applications

    1. Front Matter

      Pages 143-143
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    2. Some Remarks on Code Evolution with Genetic Programming

      • Wolfgang Banzhaf
      Pages 145-156

    3. Cartesian Genetic Programming for Control Engineering

      • Tim Clarke
      Pages 157-173

    4. Combining Local and Global Search: A Multi-objective Evolutionary Algorithm for Cartesian Genetic Programming

      • Paul Kaufmann, Marco Platzner
      Pages 175-194

    5. Approximate Computing: An Old Job for Cartesian Genetic Programming?

      • Lukas Sekanina
      Pages 195-212

    6. Breaking the Stereotypical Dogma of Artificial Neural Networks with Cartesian Genetic Programming

      • Gul Muhammad Khan, Arbab Masood Ahmad
      Pages 213-233

    7. Multi-step Ahead Forecasting Using Cartesian Genetic Programming

      • Ivars Dzalbs, Tatiana Kalganova
      Pages 235-246

    8. Medical Applications of Cartesian Genetic Programming

      • Stephen L. Smith, Michael A. Lones
      Pages 247-266

  4. Chemistry and Development

    1. Front Matter

      Pages 267-267
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    2. Chemical Computing Through Simulated Evolution

      • Larry Bull, Rita Toth, Chris Stone, Ben De Lacy Costello, Andrew Adamatzky
      Pages 269-286

    3. Sub-Symbolic Artificial Chemistries

      • Penelope Faulkner, Mihail Krastev, Angelika Sebald, Susan Stepney
      Pages 287-322

    4. Discovering Boolean Gates in Slime Mould

      • Simon Harding, Jan Koutník, Júrgen Schmidhuber, Andrew Adamatzky
      Pages 323-337

    5. Artificial Development

      • Tüze Kuyucu, Martin A. Trefzer, Andy M. Tyrrell
      Pages 339-356
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Keywords

About this book

This book is a tribute to Julian Francis Miller’s ideas and achievements in computer science, evolutionary algorithms and genetic programming, electronics, unconventional computing, artificial chemistry and theoretical biology. Leading international experts in computing inspired by nature offer their insights into the principles of information processing and optimisation in simulated and experimental living, physical and chemical substrates. Miller invented Cartesian Genetic Programming (CGP) in 1999, from a representation of electronic circuits he devised with Thomson a few years earlier. The book presents a number of CGP’s wide applications, including multi-step ahead forecasting, solving artificial neural networks dogma, approximate computing, medical informatics, control engineering, evolvable hardware, and multi-objective evolutionary optimisations. The book addresses in depth the technique of ‘Evolution in Materio’, a term coined by Miller and Downing, using a range of examples of experimental prototypes of computing in disordered ensembles of graphene nanotubes, slime mould, plants, and reaction diffusion chemical systems. Advances in sub-symbolic artificial chemistries, artificial bio-inspired development, code evolution with genetic programming, and using Reed-Muller expansions in the synthesis of Boolean quantum circuits add a unique flavour to the content. The book is a pleasure to explore for readers from all walks of life, from undergraduate students to university professors, from mathematicians, computer scientists and engineers to chemists and biologists.

Editors and Affiliations

  • Department of Computer Science, University of York, York, United Kingdom

    Susan Stepney

  • Unconventional Computing Centre, University of the West of England, Bristol, United Kingdom

    Andrew Adamatzky

Bibliographic Information

  • Book Title: Inspired by Nature

  • Book Subtitle: Essays Presented to Julian F. Miller on the Occasion of his 60th Birthday

  • Editors: Susan Stepney, Andrew Adamatzky

  • Series Title: Emergence, Complexity and Computation

  • DOI: https://doi.org/10.1007/978-3-319-67997-6

  • Publisher: Springer Cham

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer International Publishing AG 2018

  • Hardcover ISBN: 978-3-319-67996-9Published: 03 November 2017

  • Softcover ISBN: 978-3-319-88528-5Published: 01 September 2018

  • eBook ISBN: 978-3-319-67997-6Published: 25 October 2017

  • Series ISSN: 2194-7287

  • Series E-ISSN: 2194-7295

  • Edition Number: 1

  • Number of Pages: X, 387

  • Number of Illustrations: 90 b/w illustrations, 78 illustrations in colour

  • Topics: Computational Intelligence, Artificial Intelligence, Algorithms, Complexity

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