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Inspired by Nature

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

  • Susan Stepney
  • Andrew Adamatzky

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

Table of contents

  1. Front Matter
    Pages i-x
  2. Evolution and Hardware

  3. Cartesian Genetic Programming Applications

  4. Chemistry and Development

    1. Front Matter
      Pages 267-267
    2. Larry Bull, Rita Toth, Chris Stone, Ben De Lacy Costello, Andrew Adamatzky
      Pages 269-286
    3. Penelope Faulkner, Mihail Krastev, Angelika Sebald, Susan Stepney
      Pages 287-322
    4. Simon Harding, Jan Koutník, Júrgen Schmidhuber, Andrew Adamatzky
      Pages 323-337
    5. Tüze Kuyucu, Martin A. Trefzer, Andy M. Tyrrell
      Pages 339-356
    6. Andrew Adamatzky, Simon Harding, Victor Erokhin, Richard Mayne, Nina Gizzie, Frantisek Baluška et al.
      Pages 357-387

About this book

Introduction

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.

Keywords

Evolutionary Algorithms Genetic Programming Unconventional Computing Evolution in Materio Evolution and Hardware

Editors and affiliations

  • Susan Stepney
    • 1
  • Andrew Adamatzky
    • 2
  1. 1.Department of Computer ScienceUniversity of YorkYorkUnited Kingdom
  2. 2.Unconventional Computing CentreUniversity of the West of EnglandBristolUnited Kingdom

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-67997-6
  • Copyright Information Springer International Publishing AG 2018
  • Publisher Name Springer, Cham
  • eBook Packages Engineering
  • Print ISBN 978-3-319-67996-9
  • Online ISBN 978-3-319-67997-6
  • Series Print ISSN 2194-7287
  • Series Online ISSN 2194-7295
  • Buy this book on publisher's site