Computational Matter

This book is concerned with computing in materio: that is, unconventional computing performed by directly harnessing the physical properties of materials. It offers an overview of the field, covering four main areas of interest: theory, practice, applications and implications. Each chapter synthesizes current understanding by deliberately bringing together researchers across a collection of related research projects. 
The book is useful for graduate students, researchers in the field, and the general scientific reader who is interested in inherently interdisciplinary research at the intersections of computer science, biology, chemistry, physics, engineering and mathematics.

Sommario

Encoding and Representation.- Formalisms.- Mathematical Aspects of Evolvability.- Autonomy, Programming and Programmability.- Non-Boolean Algebras.- Complexity Issues.- Amorphous Substrates.- Material Simulation/Systems-Scale Simulation/Multiscale Modelling.- Nanoscale Automata.- Electronic Chemical Interaction and Digital Computation.- Molecular and Device Self-assembly and Self-organization.- Interfacing and Architectures: Board and Chip Builders.- Evolution, Coevolution, Evolvable Hardware and Embedded in Materio Evolution.- Reservoir Computing.- Swarm Chemistry.- Molecular/DNA Computing.- Dynamical Stability and Intelligence.- Unconventional Computation and Life.- Unconventional Computing in Society.- Philosophy of Computation.

Riassunto

As the silicon chip approaches its eighth decade, researchers are actively seeking alternative substrates on which to implement computations
Each chapter synthesizes current understanding, bringing together researchers from related research projects
Useful for graduate students, researchers in the field, and the general scientific reader

Dettagli sul prodotto

• Con la collaborazione di: Martyn Amos (Editore), Stee Rasmussen (Editore), Steen Rasmussen (Editore), Susan Stepney (Editore)
• Editore: Springer, Berlin
• Lingue: Inglese
• Formato: Tascabile
• Pubblicazione: 01.01.2019
• EAN: 9783030097509
• ISBN: 978-3-0-3009750-9
• Pagine: 337
• Dimensioni: 155 mm x 18 mm x 235 mm
• Peso: 534 g
• Illustrazioni: IX, 337 p.
• Serie: Natural Computing Series
• Categorie: Scienze naturali, medicina, informatica, tecnica > Informatica, EDP > Informatica; B, Künstliche Intelligenz, Artificial Intelligence, Evolution, computer science, Theory of Computation, Computers, Mathematical theory of computation, molecular computing, DNA Computing, Reservoir Computing, evolutionary computing