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Automata Networks

Automata Networks
Author: C. Choffrut
Publisher: Springer Science & Business Media
Total Pages: 140
Release: 1988-06-22
Genre: Computers
ISBN: 9783540194446

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This volume contains the proceedings of the 14th Spring School of the LITP (Laboratoire d`Informatique Thorique et de Programmation, Universit Paris VI-VII, CNRS) held May 12-16, 1986 in Argels-Village on the French Catalan coast. This meeting was organized by C. Choffrut, M. Nivat, F. Robert, P. Sall and gathered a hundred participants. The proceedings of the last two Spring Schools have already been published in this series and deal with "Automata on Infinite Words" (LNCS 192) and "Combinators and Functional Programming Languages" (LNCS 242). The purpose of this yearly meeting is to present the state of the art in a specific topic which has gained considerable maturity. The field chosen this year was the theory of automata networks. Though the content of this book is essentially restricted to computer science aspects of the topic, illustrations were given at the meeting on how the model of cellular automata could be used to solve problems in statistical, fluid and solid state mechanics. Applications to biology with growth models also exist


Automata Networks in Computer Science

Automata Networks in Computer Science
Author: Françoise Fogelman Soulié
Publisher: Manchester University Press
Total Pages: 304
Release: 1987
Genre: Cellular automata
ISBN: 9780719022098

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Algebraic Theory of Automata Networks

Algebraic Theory of Automata Networks
Author: Pal Domosi
Publisher: SIAM
Total Pages: 270
Release: 2005-01-01
Genre: Mathematics
ISBN: 9780898718492

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Investigates automata networks as algebraic structures and develops their theory in line with other algebraic theories, such as those of semigroups, groups, rings, and fields. The authors also investigate automata networks as products of automata, that is, as compositions of automata obtained by cascading without feedback or with feedback of various restricted types or, most generally, with the feedback dependencies controlled by an arbitrary directed graph. They survey and extend the fundamental results in regard to automata networks, including the main decomposition theorems of Letichevsky, of Krohn and Rhodes, and of others.


Neural and Automata Networks

Neural and Automata Networks
Author: E. Goles
Publisher: Springer Science & Business Media
Total Pages: 259
Release: 2013-03-07
Genre: Computers
ISBN: 9400905297

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"Et moi ..., si j'avait Sll comment en revenir. One sennce mathematics has rendered the human race. It has put common sense back je n'y serais point alle.' Jules Verne whe", it belongs, on the topmost shelf next to the dusty canister labelled 'discarded non- The series is divergent; therefore we may be smse'. able to do something with it. Eric T. Bell O. Heaviside Mathematics is a tool for thought. A highly necessary tool in a world where both feedback and non linearities abound. Similarly, all kinds of parts of mathematics serve as tools for other parts and for other sciences. Applying a simple rewriting rule to the quote on the right above one finds such statements as: 'One service topology has rendered mathematical physics .. .'; 'One service logic has rendered com puter science .. .'; 'One service category theory has rendered mathematics .. .'. All arguably true. And all statements obtainable this way form part of the raison d'!ltre of this series


Networks of Learning Automata

Networks of Learning Automata
Author: M.A.L. Thathachar
Publisher: Springer Science & Business Media
Total Pages: 275
Release: 2011-06-27
Genre: Science
ISBN: 1441990526

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Networks of Learning Automata: Techniques for Online Stochastic Optimization is a comprehensive account of learning automata models with emphasis on multiautomata systems. It considers synthesis of complex learning structures from simple building blocks and uses stochastic algorithms for refining probabilities of selecting actions. Mathematical analysis of the behavior of games and feedforward networks is provided. Algorithms considered here can be used for online optimization of systems based on noisy measurements of performance index. Also, algorithms that assure convergence to the global optimum are presented. Parallel operation of automata systems for improving speed of convergence is described. The authors also include extensive discussion of how learning automata solutions can be constructed in a variety of applications.


Introduction to the Numerical Solution of Markov Chains

Introduction to the Numerical Solution of Markov Chains
Author: William J. Stewart
Publisher: Princeton University Press
Total Pages: 561
Release: 1994-12-04
Genre: Mathematics
ISBN: 0691036993

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Markov Chains -- Direct Methods -- Iterative Methods -- Projection Methods -- Block Hessenberg Matrices -- Decompositional Methods -- LI-Cyclic Markov -- Chains -- Transient Solutions -- Stochastic Automata Networks -- Software.


Cellular Automata

Cellular Automata
Author: Samira El Yacoubi
Publisher: Springer
Total Pages: 750
Release: 2006-10-17
Genre: Computers
ISBN: 3540409327

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This book constitutes the refereed proceedings of the 7th International Conference on Cellular Automata for Research and Industry, ACRI 2006. The book presents 53 revised full papers and 19 revised poster papers together with 6 invited lectures. Topical sections include CA theory and implementation, computational theory, population dynamics, physical modeling, urban, environmental and social modeling, traffic and boolean networks, multi-agents and robotics, as well as crowds and cellular automata, and more.


Automata and Complexity

Automata and Complexity
Author: Andrew Adamatzky
Publisher: Springer Nature
Total Pages: 478
Release: 2022-04-19
Genre: Technology & Engineering
ISBN: 303092551X

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This book commemorates Eric Goles’s achievements in science and engineering. Eric Goles is one of the world leaders in the field of automata and complexity. His groundbreaking discoveries are in the theory and analysis of complex systems, particularly in the field of discrete systems dynamics such as neural networks, automata networks, majority networks, bootstrap percolation models, cellular automata, computational complexity theory, discrete mathematics, and theoretical computer science. Topics include cellular automata, complex networks, models of computation, expansive systems, sandpile automata, Penrose tilings, Boolean automata, models of infection, Fibonacci trees, dominos, reversible automata, and fungal automata. The chapters are authored by world leaders in computer science, physics, mathematics, and engineering. The book will be a pleasure to explore for readers from all walks of life, from undergraduate students to university professors, from mathematicians, computer scientists, and engineers to chemists and biologists.


Cellular Automata

Cellular Automata
Author: Howard Gutowitz
Publisher: MIT Press
Total Pages: 510
Release: 1991
Genre: Computers
ISBN: 9780262570862

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The thirty four contributions in this book cover many aspects of contemporary studies on cellular automata and include reviews, research reports, and guides to recent literature and available software. Cellular automata, dynamic systems in which space and time are discrete, are yielding interesting applications in both the physical and natural sciences. The thirty four contributions in this book cover many aspects of contemporary studies on cellular automata and include reviews, research reports, and guides to recent literature and available software. Chapters cover mathematical analysis, the structure of the space of cellular automata, learning rules with specified properties: cellular automata in biology, physics, chemistry, and computation theory; and generalizations of cellular automata in neural nets, Boolean nets, and coupled map lattices.Current work on cellular automata may be viewed as revolving around two central and closely related problems: the forward problem and the inverse problem. The forward problem concerns the description of properties of given cellular automata. Properties considered include reversibility, invariants, criticality, fractal dimension, and computational power. The role of cellular automata in computation theory is seen as a particularly exciting venue for exploring parallel computers as theoretical and practical tools in mathematical physics. The inverse problem, an area of study gaining prominence particularly in the natural sciences, involves designing rules that possess specified properties or perform specified task. A long-term goal is to develop a set of techniques that can find a rule or set of rules that can reproduce quantitative observations of a physical system. Studies of the inverse problem take up the organization and structure of the set of automata, in particular the parameterization of the space of cellular automata. Optimization and learning techniques, like the genetic algorithm and adaptive stochastic cellular automata are applied to find cellular automaton rules that model such physical phenomena as crystal growth or perform such adaptive-learning tasks as balancing an inverted pole.Howard Gutowitz is Collaborateur in the Service de Physique du Solide et Résonance Magnetique, Commissariat a I'Energie Atomique, Saclay, France.