Unconventional Computing [E-Book] : A Volume in the Encyclopedia of Complexity and Systems Science, Second Edition / edited by Andrew Adamatzky.
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 che...
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Full text |
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Personal Name(s): | Adamatzky, Andrew, editor |
Edition: |
1st ed. 2018. |
Imprint: |
New York, NY :
Springer,
2018
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Physical Description: |
363 illustrations, 112 illustrations in color. eReference (online resource) |
Note: |
englisch |
ISBN: |
9781493968831 |
DOI: |
10.1007/978-1-4939-6883-1 |
Series Title: |
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Encyclopedia of Complexity and Systems Science Series
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Subject (LOC): |
- Amorphous Computing
- Algorithmic Cognition
- Analog Computation
- Applications of P Systems
- Approximations to algorithmic probability
- Artificial Chemistry
- Bacterial Computing
- Biomolecular Data Structures
- Cellular Computing
- Computing with Solitons
- DNA Computing
- Evolution in Materio
- Grossone Infinity Computing
- Immune computing
- Inductive Turing Machines
- Mechanical Computing: The Computational Complexity of Physical Devices
- Membrane Computing, Power and Complexity
- Molecular Automata
- Nanocomputers
- Neuromorphic Computing based on Organic Memristive Systems
- Neuromorphic Photonics, Principles of
- Novel Hardware for Unconventional Computing
- Optical Computing
- Quantum Computing
- Reaction-Diffusion Computing
- Reversible Computing
- Slime Mould Computing
- Thermodynamics of Computation
- Unconventional Computing, Introduction to
- Metaheuristics
- Cuckoo Search
- Firefly Algorithm
- Sound and Music Computing
- Unconventional Computational Problems
- Enzyme-based computing
- Inductive Turing machines and complexity, super-recursive algorithms
- Reservoir computing, principles, and applications
- Collision-based computing
- Grossone Infinity Computing
- Unconventional Computational Problems.