Table of contents

  1. Front Matter
    Pages i-xxvii
  2. Practical, Experimental Laboratory Computing

    1. Front Matter
      Pages 1-1
    2. Bruce J. MacLennan
      Pages 3-33
    3. Thomas J. Naughton, Damien Woods
      Pages 57-81
    4. Bhavin J. Shastri, Alexander N. Tait, Thomas Ferreira de Lima, Mitchell A. Nahmias, Hsuan-Tung Peng, Paul R. Prucnal
      Pages 83-118
    5. Viv Kendon
      Pages 119-146
    6. Darren Rand, Ken Steiglitz
      Pages 147-170
    7. Andrew Adamatzky, Benjamin De Lacy Costello
      Pages 171-194
    8. Jerzy Gorecki, Joanna Natalia Gorecka
      Pages 195-223
    9. Tetsuya Asai
      Pages 225-249
    10. H. John Caulfield, Lei Qian
      Pages 251-264
    11. Martyn Amos
      Pages 307-325
    12. Joanne Macdonald, Darko Stefanovic, Milan Stojanovic
      Pages 327-353
    13. Ferdinand Peper
      Pages 355-392
    14. Christof Teuscher
      Pages 393-410
    15. Andrew Adamatzky
      Pages 431-446
    16. Simon Harding, Julian F. Miller
      Pages 447-462
    17. Kenichi Morita
      Pages 463-488
  3. Theory of Computation and Nature-Inspired Algorithms

    1. Front Matter
      Pages 489-489
    2. Martyn Amos
      Pages 491-502
    3. Jon Timmis
      Pages 503-518
    4. Marian Gheorghe, Andrei Păun, Sergey Verlan, Gexiang Zhang
      Pages 519-533
    5. Marian Gheorghe, Andrei Păun, Sergey Verlan, Gexiang Zhang
      Pages 535-548
    6. Xin-She Yang
      Pages 549-563
    7. Konstantinos Ioannidis, Georgios Ch. Sirakoulis
      Pages 565-576
    8. Peter Dittrich
      Pages 577-599
    9. Hal Abelson, Jacob Beal, Gerald Jay Sussman
      Pages 601-617
    10. Zoran Konkoli
      Pages 619-629
    11. Selim G. Akl
      Pages 631-639
    12. Hector Zenil, Nicolas Gauvrit
      Pages 641-649
    13. Hector Zenil
      Pages 651-661
    14. Yaroslav D. Sergeyev
      Pages 663-673
    15. Mark Burgin
      Pages 675-688
  4. Back Matter
    Pages 689-693

About this book


This volume of the Encyclopedia of Complexity and Systems Science, Second Edition, is a unique collection of concise overviews of state-of-art, theoretical and experimental findings, prepared by the world leaders in unconventional computing. Topics covered include bacterial computing, artificial chemistry, amorphous computing, computing with Solitons, evolution in materio, immune computing, mechanical computing, molecular automata, membrane computing, bio-inspired metaheuristics, reversible computing, sound and music computing, enzyme-based computing, structural machines, reservoir computing, infinity computing, biomolecular data structures, slime mold computing, nanocomputers, analog computers, DNA computing, novel hardware, thermodynamics of computation, and quantum and optical computing. Topics added to the second edition include: social algorithms, unconventional computational problems, enzyme-based computing, inductive Turing machines, reservoir computing, Grossone Infinity computing, slime mould computing, biomolecular data structures, parallelization of bio-inspired unconventional computing, and photonic computing.

Unconventional computing is a cross-breed of computer science, physics, mathematics, chemistry, electronic engineering, biology, materials science and nanotechnology. The aims are to uncover and exploit principles and mechanisms of information processing in, and functional properties of, physical, chemical and living systems, with the goal to develop efficient algorithms, design optimal architectures and manufacture working prototypes of future and emergent computing devices.


future and emergent technologies molecular computing biocomputing quantum computing analog computation chemical computation novel computing theory of computation parallel computing natural computing

Editors and affiliations

  • Andrew Adamatzky
    • 1
  1. 1.Unconventional Computing CentreUniversity of the West of EnglandBristolUnited Kingdom

Bibliographic information