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Modern computing relies on future and emergent technologies which
have been conceived via interaction between computer science,
engineering, chemistry, physics and biology. This highly
interdisciplinary book presents advances in the fields of parallel,
distributed and emergent information processing and computation.
The book represents major breakthroughs in parallel quantum
protocols, elastic cloud servers, structural properties of
interconnection networks, internet of things, morphogenetic
collective systems, swarm intelligence and cellular automata,
unconventionality in parallel computation, algorithmic information
dynamics, localized DNA computation, graph-based cryptography,
slime mold inspired nano-electronics and cytoskeleton computers.
Features Truly interdisciplinary, spanning computer science,
electronics, mathematics and biology Covers widely popular topics
of future and emergent computing technologies, cloud computing,
parallel computing, DNA computation, security and network analysis,
cryptography, and theoretical computer science Provides unique
chapters written by top experts in theoretical and applied computer
science, information processing and engineering From Parallel to
Emergent Computing provides a visionary statement on how computing
will advance in the next 25 years and what new fields of science
will be involved in computing engineering. This book is a valuable
resource for computer scientists working today, and in years to
come.
The book gives a comprehensive overview of the state-of-the-art
research and engineering in theory and application of Lattice
Automata in design and control of autonomous Robots. Automata and
robots share the same notional meaning. Automata (originated from
the latinization of the Greek word “αυτόματον”) as
self-operating autonomous machines invented from ancient years can
be easily considered the first steps of robotic-like efforts.
Automata are mathematical models of Robots and also they are
integral parts of robotic control systems. A Lattice Automaton is a
regular array or a collective of finite state machines, or
automata. The Automata update their states by the same rules
depending on states of their immediate neighbours. In the context
of this book, Lattice Automata are used in developing modular
reconfigurable robotic systems, path planning and map exploration
for robots, as robot controllers, synchronisation of robot
collectives, robot vision, parallel robotic actuators. All chapters
are written in an accessible manner and lavishly illustrated. The
book will help computer and robotic scientists and engineers to
understand mechanisms of decentralised functioning of robotic
collectives and to design future and emergent reconfigurable,
parallel and distributed robotic systems.
This book considers the design and development of nanoelectronic
computing circuits, systems and architectures focusing particularly
on memristors, which represent one of today's latest technology
breakthroughs in nanoelectronics. The book studies, explores, and
addresses the related challenges and proposes solutions for the
smooth transition from conventional circuit technologies to
emerging computing memristive nanotechnologies. Its content spans
from fundamental device modeling to emerging storage system
architectures and novel circuit design methodologies, targeting
advanced non-conventional analog/digital massively parallel
computational structures. Several new results on memristor
modeling, memristive interconnections, logic circuit design, memory
circuit architectures, computer arithmetic systems, simulation
software tools, and applications of memristors in computing are
presented. High-density memristive data storage combined with
memristive circuit-design paradigms and computational tools applied
to solve NP-hard artificial intelligence problems, as well as
memristive arithmetic-logic units, certainly pave the way for a
very promising memristive era in future electronic systems.
Furthermore, these graph-based NP-hard problems are solved on
memristive networks, and coupled with Cellular Automata
(CA)-inspired computational schemes that enable computation within
memory. All chapters are written in an accessible manner and are
lavishly illustrated. The book constitutes an informative
cornerstone for young scientists and a comprehensive reference to
the experienced reader, hoping to stimulate further research on
memristive devices, circuits, and systems.
This book considers the design and development of nanoelectronic
computing circuits, systems and architectures focusing particularly
on memristors, which represent one of today's latest technology
breakthroughs in nanoelectronics. The book studies, explores, and
addresses the related challenges and proposes solutions for the
smooth transition from conventional circuit technologies to
emerging computing memristive nanotechnologies. Its content spans
from fundamental device modeling to emerging storage system
architectures and novel circuit design methodologies, targeting
advanced non-conventional analog/digital massively parallel
computational structures. Several new results on memristor
modeling, memristive interconnections, logic circuit design, memory
circuit architectures, computer arithmetic systems, simulation
software tools, and applications of memristors in computing are
presented. High-density memristive data storage combined with
memristive circuit-design paradigms and computational tools applied
to solve NP-hard artificial intelligence problems, as well as
memristive arithmetic-logic units, certainly pave the way for a
very promising memristive era in future electronic systems.
Furthermore, these graph-based NP-hard problems are solved on
memristive networks, and coupled with Cellular Automata
(CA)-inspired computational schemes that enable computation within
memory. All chapters are written in an accessible manner and are
lavishly illustrated. The book constitutes an informative
cornerstone for young scientists and a comprehensive reference to
the experienced reader, hoping to stimulate further research on
memristive devices, circuits, and systems.
The book gives a comprehensive overview of the state-of-the-art
research and engineering in theory and application of Lattice
Automata in design and control of autonomous Robots. Automata and
robots share the same notional meaning. Automata (originated from
the latinization of the Greek word " ") as self-operating
autonomous machines invented from ancient years can be easily
considered the first steps of robotic-like efforts. Automata are
mathematical models of Robots and also they are integral parts of
robotic control systems. A Lattice Automaton is a regular array or
a collective of finite state machines, or automata. The Automata
update their states by the same rules depending on states of their
immediate neighbours. In the context of this book, Lattice Automata
are used in developing modular reconfigurable robotic systems, path
planning and map exploration for robots, as robot controllers,
synchronisation of robot collectives, robot vision, parallel
robotic actuators. All chapters are written in an accessible manner
and lavishly illustrated. The book will help computer and robotic
scientists and engineers to understand mechanisms of decentralised
functioning of robotic collectives and to design future and
emergent reconfigurable, parallel and distributed robotic systems.
Modern computing relies on future and emergent technologies which
have been conceived via interaction between computer science,
engineering, chemistry, physics and biology. This highly
interdisciplinary book presents advances in the fields of parallel,
distributed and emergent information processing and computation.
The book represents major breakthroughs in parallel quantum
protocols, elastic cloud servers, structural properties of
interconnection networks, internet of things, morphogenetic
collective systems, swarm intelligence and cellular automata,
unconventionality in parallel computation, algorithmic information
dynamics, localized DNA computation, graph-based cryptography,
slime mold inspired nano-electronics and cytoskeleton computers.
Features Truly interdisciplinary, spanning computer science,
electronics, mathematics and biology Covers widely popular topics
of future and emergent computing technologies, cloud computing,
parallel computing, DNA computation, security and network analysis,
cryptography, and theoretical computer science Provides unique
chapters written by top experts in theoretical and applied computer
science, information processing and engineering From Parallel to
Emergent Computing provides a visionary statement on how computing
will advance in the next 25 years and what new fields of science
will be involved in computing engineering. This book is a valuable
resource for computer scientists working today, and in years to
come.
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Cellular Automata - 14th International Conference on Cellular Automata for Research and Industry, ACRI 2020, Lodz, Poland, December 2-4, 2020, Proceedings (Paperback, 1st ed. 2021)
Tomasz M. Gwizdalla, Luca Manzoni, Georgios Ch Sirakoulis, Stefania Bandini, Krzysztof Podlaski
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R1,557
Discovery Miles 15 570
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Ships in 10 - 15 working days
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This book constitutes the refereed proceedings of the 14th
International Conference on Cellular Automata for Research and
Industry, ACRI 2020, which took place in Lodz, Poland, during
December 2-4, 2020. The 24 full and 3 short papers presented in
this volume were carefully reviewed and selected from 40
submissions. They were organized in topical sections named: theory
and cryptography, modeling and simulation, and disease spreading
dynamics.
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