Springer International Publishing, 2017. — 812 p. — (Emergence, Complexity and Computation 23). — ISBN: 978-3-319-33921-4; 978-3-319-33920-7.
The unconventional computing is a niche for interdisciplinary science, cross-bred of computer science, physics, mathematics, chemistry, electronic engineering, biology, material science and nanotechnology. The aims of this book are to uncover and exploit principles and mechanisms of information processing in and functional properties of physical, chemical and living systems to develop efficient algorithms, design optimal architectures and manufacture working prototypes of future and emergent computing devices.
This second volume presents experimental laboratory prototypes and applied computing implementations. Emergent molecular computing is presented by enzymatic logical gates and circuits, and DNA nano-devices. Reaction-diffusion chemical computing is exemplified by logical circuits in Belousov-Zhabotinsky medium and geometrical computation in precipitating chemical reactions. Logical circuits realised with solitons and impulses in polymer chains show advances in collision-based computing. Photo-chemical and memristive devices give us a glimpse on hot topics of a novel hardware. Practical computing is represented by algorithms of collective and immune-computing and nature-inspired optimisation. Living computing devices are implemented in real and simulated cells, regenerating organisms, plant roots and slime mould.
The book is the encyclopedia, the first ever complete authoritative account, of the theoretical and experimental findings in the unconventional computing written by the world leaders in the field. All chapters are self-contains, no specialist background is required to appreciate ideas, findings, constructs and designs presented. This treatise in unconventional computing appeals to readers from all walks of life, from high-school pupils to university professors, from mathematicians, computers scientists and engineers to chemists and biologists.
Implementing Molecular Logic Gates, Circuits, and Cascades Using DNAzymes
Enzyme-Based Reversible Logic Gates Operated in Flow Cells
Modeling and Modifying Response of Biochemical Processes for Biocomputing and Biosensing Signal Processing
Sensing Parameters of a Time Dependent Inflow with an Enzymatic Reaction
Combinational Logic Circuit Based on BZ Reaction
Associative Memory in Reaction-Diffusion Chemistry
Calculating Voronoi Diagrams Using Chemical Reactions
Light-Sensitive Belousov–Zhabotinsky Computing Through Simulated Evolution
On Synthesis and Solutions of Nonlinear Differential Equations—A Bio-Inspired Approach
Marangoni Flow Driven Maze Solving
Chemotaxis and Chemokinesis of Living and Non-living Objects
Computing with Classical Soliton Collisions
Soliton-Guided Quantum Information Processing
Models of Computing on Actin Filaments
Modeling DNA Nanodevices Using Graph Rewrite Systems
Computational Matter: Evolving Computational Functions in Nanoscale Materials
Unconventional Computing Realized with Hybrid Materials Exhibiting the PhotoElectrochemical Photocurrent Switching (PEPS) Effect
Organic Memristor Based Elements for Bio-inspired Computing
Memristors in Unconventional Computing: How a Biomimetic Circuit Element Can be Used to Do Bioinspired Computation
Nature-Inspired Computation: An Unconventional Approach to Optimization
On Hybrid Classical and Unconventional Computing for Guiding Collective Movement
Cellular Automata Ants
Rough Set Description of Strategy Games on Physarum Machines
Computing a Worm: Reverse-Engineering Planarian Regeneration
An Integrated
Plant Roots as Excellent Pathfinders: Root Navigation Based on Plant Specific Sensory Systems and Sensorimotor Circuits
Soft Plant Robotic Solutions: Biological Inspiration and Technological Challenges
Thirty Seven Things to Do with Live Slime Mould
Experiments in Musical Biocomputing: Towards New Kinds of Processors for Audio and Music
Immunocomputing and Baltic Indicator of Global Warming
Experimental Architecture and Unconventional Computing