Editors:
- A 'bible' of experimental computing with spatially extended living substrates
- Presents topics of complex systems, emergence, self-organization, mathematical machines in any easily understandable way
- With contributions from world top experts in applied and computer science, biology, logics and philosophy, nanotechnology
- Lavishly illustrated
- With visually attractive examples of slime mould based computing devices
- Includes supplementary material: sn.pub/extras
Part of the book series: Emergence, Complexity and Computation (ECC, volume 21)
Buy it now
Buying options
Tax calculation will be finalised at checkout
Other ways to access
This is a preview of subscription content, log in via an institution to check for access.
Table of contents (38 chapters)
-
Front Matter
-
Experimental
-
Front Matter
-
About this book
This book is devoted to Slime mould Physarum polycephalum, which is a large single cell capable for distributed sensing, concurrent information processing, parallel computation and decentralized actuation. The ease of culturing and experimenting with Physarum makes this slime mould an ideal substrate for real-world implementations of unconventional sensing and computing devices
The book is a treatise of theoretical and experimental laboratory studies on sensing and computing properties of slime mould, and on the development of mathematical and logical theories of Physarum behavior.
It is shown how to make logical gates and circuits, electronic devices (memristors, diodes, transistors, wires, chemical and tactile sensors) with the slime mould. The book demonstrates how to modify properties of Physarum computing circuits with functional nano-particles and polymers, to interface the slime mould with field-programmable arrays, and touse Physarum as a controller of microbial fuel cells.
A unique multi-agent model of slime is shown to serve well as a software slime mould capable for solving problems of computational geometry and graph optimization. The multiagent model is complemented by cellular automata models with parallel accelerations. Presented mathematical models inspired by Physarum include non-quantum implementation of Shor's factorization, structural learning, computation of shortest path tree on dynamic graphs, supply chain network design, p-adic computing and syllogistic reasoning.
The book is a unique composition of vibrant and lavishly illustrated essays which will inspire scientists, engineers and artists to exploit natural phenomena in designs of future and emergent computing and sensing devices. It is a 'bible' of experimental computing with spatially extended living substrates, it spanstopics from biology of slime mould, to bio-sensing, to unconventional computing devices and robotics, non-classical logics and music and arts.
Reviews
“This very, very extensive volume (of over 800 pages) is an excellent introduction to the area, but it is also particularly useful to those both new to the system as well as experienced researchers who wish to understand practical and low-level details from one integrated source rather than searching through many research articles and technical reports.” (Sara Kalvala, Computing Reviews, computingreviews.com, June, 2016)
Editors and Affiliations
-
Unconventional Computing Centre, University of the West of England, Bristol, United Kingdom
Andrew Adamatzky
Bibliographic Information
Book Title: Advances in Physarum Machines
Book Subtitle: Sensing and Computing with Slime Mould
Editors: Andrew Adamatzky
Series Title: Emergence, Complexity and Computation
DOI: https://doi.org/10.1007/978-3-319-26662-6
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing Switzerland 2016
Hardcover ISBN: 978-3-319-26661-9Published: 18 January 2016
Softcover ISBN: 978-3-319-79992-6Published: 30 March 2018
eBook ISBN: 978-3-319-26662-6Published: 09 January 2016
Series ISSN: 2194-7287
Series E-ISSN: 2194-7295
Edition Number: 1
Number of Pages: X, 839
Number of Illustrations: 323 b/w illustrations, 131 illustrations in colour
Topics: Complexity, Computational Intelligence, Bioinformatics, Artificial Intelligence, Applications of Nonlinear Dynamics and Chaos Theory, Robotics and Automation