Cellular Learning Automata Theory And Applications

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Cellular Learning Automata: Theory and Applications

Reza Vafashoar,Hossein Morshedlou,Alireza Rezvanian,Mohammad Reza Meybodi
Cellular Learning Automata Theory and Applications Book PDF

Author : Reza Vafashoar,Hossein Morshedlou,Alireza Rezvanian,Mohammad Reza Meybodi
Publisher : Springer Nature
Page : 377 pages
File Size : 48,5 Mb
Release : 2020-07-24
Category : Technology & Engineering
ISBN : 9783030531416

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Cellular Learning Automata: Theory and Applications by Reza Vafashoar,Hossein Morshedlou,Alireza Rezvanian,Mohammad Reza Meybodi Pdf

This book highlights both theoretical and applied advances in cellular learning automata (CLA), a type of hybrid computational model that has been successfully employed in various areas to solve complex problems and to model, learn, or simulate complicated patterns of behavior. Owing to CLA’s parallel and learning abilities, it has proven to be quite effective in uncertain, time-varying, decentralized, and distributed environments. The book begins with a brief introduction to various CLA models, before focusing on recently developed CLA variants. In turn, the research areas related to CLA are addressed as bibliometric network analysis perspectives. The next part of the book presents CLA-based solutions to several computer science problems in e.g. static optimization, dynamic optimization, wireless networks, mesh networks, and cloud computing. Given its scope, the book is well suited for all researchers in the fields of artificial intelligence and reinforcement learning.

Modern Cellular Automata

Kendall Preston Jr.,Michael J.B. Duff
Modern Cellular Automata Book PDF

Author : Kendall Preston Jr.,Michael J.B. Duff
Publisher : Springer Science & Business Media
Page : 354 pages
File Size : 50,5 Mb
Release : 2013-06-29
Category : Computers
ISBN : 9781489903938

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Modern Cellular Automata by Kendall Preston Jr.,Michael J.B. Duff Pdf

It is with great pleasure that I present this fourth vol ume in the series "Advanced Applications in Pattern Recognition." It would be difficult to find two authors better versed in the design and application of parallel image processing systems, due to both their own many years of pioneering in the field and their encyclopedic knowledge of what is going on in uni versity and industrial laboratories around the world. The monograph is unique in its parallel presentation of orthogonal and hexagonal dissections, and the wealth of graphic illustration of algorithmic procedures for processing and analyz ing images in the various known implementations of parallel im age-processing architectures. This volume should find a place on the bookshelf of every practitioner of pattern recognition, image processing, and compu ter graphics. Morton Nadler General Editor vii PREFACE This book endeavors to introduce the reader to the subject of cellular logic and cellular automata and is devoted particu larly to those parts dealing with the manipulation of pictorial data. The study of cellular automata owes much to the pioneer ing work of John von Neumann during the 1950s. Von Neumann was interested in general problems in the behavior of computing structures and was immensely impressed by the complexity and performance of the human brain, which he felt must point to wards successful designs for automatic computing machines.

Additive Cellular Automata

Parimal Pal Chaudhuri,Dipanwita Roy Chowdhury,Sukumar Nandi,Santanu Chattopadhyay
Additive Cellular Automata Book PDF

Author : Parimal Pal Chaudhuri,Dipanwita Roy Chowdhury,Sukumar Nandi,Santanu Chattopadhyay
Publisher : John Wiley & Sons
Page : 372 pages
File Size : 43,5 Mb
Release : 1997-07-11
Category : Technology & Engineering
ISBN : 0818677171

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Additive Cellular Automata by Parimal Pal Chaudhuri,Dipanwita Roy Chowdhury,Sukumar Nandi,Santanu Chattopadhyay Pdf

This book presents an extensive survey and report of related research on important developments in cellular automata (CA) theory. The authors introduce you to this theory in a comprehensive manner that will help you understand the basics of CA and be prepared for further research. They illustrate the matrix algebraic tools that characterize group CA and help develop its applications in the field of VLSI testing. The text examines schemes based on easily testable FSM, bit-error correcting code, byte error correcting code, and characterization of 2D cellular automata. In addition, it looks into CA-based universal pattern generation, data encryption, and synthesis of easily testable combinational logic. The book covers new characterizations of group CA behavior, CA-based tools for fault diagnosis, and a wide variety of applications to solve real-life problems.

Cellular Automata

Howard Gutowitz
Cellular Automata Book PDF

Author : Howard Gutowitz
Publisher : MIT Press
Page : 510 pages
File Size : 55,9 Mb
Release : 1991
Category : Computers
ISBN : 0262570866

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Cellular Automata by Howard Gutowitz Pdf

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.

Cellular Automata: Analysis and Applications

Karl-Peter Hadeler,Johannes Müller
Cellular Automata Analysis and Applications Book PDF

Author : Karl-Peter Hadeler,Johannes Müller
Publisher : Springer
Page : 467 pages
File Size : 43,8 Mb
Release : 2017-05-27
Category : Mathematics
ISBN : 9783319530437

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Cellular Automata: Analysis and Applications by Karl-Peter Hadeler,Johannes Müller Pdf

This book provides an overview of the main approaches used to analyze the dynamics of cellular automata. Cellular automata are an indispensable tool in mathematical modeling. In contrast to classical modeling approaches like partial differential equations, cellular automata are relatively easy to simulate but difficult to analyze. In this book we present a review of approaches and theories that allow the reader to understand the behavior of cellular automata beyond simulations. The first part consists of an introduction to cellular automata on Cayley graphs, and their characterization via the fundamental Cutis-Hedlund-Lyndon theorems in the context of various topological concepts (Cantor, Besicovitch and Weyl topology). The second part focuses on classification results: What classification follows from topological concepts (Hurley classification), Lyapunov stability (Gilman classification), and the theory of formal languages and grammars (Kůrka classification)? These classifications suggest that cellular automata be clustered, similar to the classification of partial differential equations into hyperbolic, parabolic and elliptic equations. This part of the book culminates in the question of whether the properties of cellular automata are decidable. Surjectivity and injectivity are examined, and the seminal Garden of Eden theorems are discussed. In turn, the third part focuses on the analysis of cellular automata that inherit distinct properties, often based on mathematical modeling of biological, physical or chemical systems. Linearity is a concept that allows us to define self-similar limit sets. Models for particle motion show how to bridge the gap between cellular automata and partial differential equations (HPP model and ultradiscrete limit). Pattern formation is related to linear cellular automata, to the Bar-Yam model for the Turing pattern, and Greenberg-Hastings automata for excitable media. In addition, models for sand piles, the dynamics of infectious d

Automata-2008

A. Adamatzky,R. Alonso-Sanz,A. Lawniczak
Automata 2008 Book PDF

Author : A. Adamatzky,R. Alonso-Sanz,A. Lawniczak
Publisher : Luniver Press
Page : 634 pages
File Size : 49,8 Mb
Release : 2008
Category : Computers
ISBN : 9781905986163

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Automata-2008 by A. Adamatzky,R. Alonso-Sanz,A. Lawniczak Pdf

Cellular automata are regular uniform networks of locally-connected finite-state machines. They are discrete systems with non-trivial behaviour. Cellular automata are ubiquitous: they are mathematical models of computation and computer models of natural systems. The book presents results of cutting edge research in cellular-automata framework of digital physics and modelling of spatially extended non-linear systems; massive-parallel computing, language acceptance, and computability; reversibility of computation, graph-theoretic analysis and logic; chaos and undecidability; evolution, learning and cryptography. The book is unique because it brings together unequalled expertise of inter-disciplinary studies at the edge of mathematics, computer science, engineering, physics and biology.

Advances in Learning Automata and Intelligent Optimization

Javidan Kazemi Kordestani,Mehdi Razapoor Mirsaleh,Alireza Rezvanian,Mohammad Reza Meybodi
Advances in Learning Automata and Intelligent Optimization Book PDF

Author : Javidan Kazemi Kordestani,Mehdi Razapoor Mirsaleh,Alireza Rezvanian,Mohammad Reza Meybodi
Publisher : Springer Nature
Page : 340 pages
File Size : 52,9 Mb
Release : 2021-06-23
Category : Technology & Engineering
ISBN : 9783030762919

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Advances in Learning Automata and Intelligent Optimization by Javidan Kazemi Kordestani,Mehdi Razapoor Mirsaleh,Alireza Rezvanian,Mohammad Reza Meybodi Pdf

This book is devoted to the leading research in applying learning automaton (LA) and heuristics for solving benchmark and real-world optimization problems. The ever-increasing application of the LA as a promising reinforcement learning technique in artificial intelligence makes it necessary to provide scholars, scientists, and engineers with a practical discussion on LA solutions for optimization. The book starts with a brief introduction to LA models for optimization. Afterward, the research areas related to LA and optimization are addressed as bibliometric network analysis. Then, LA's application in behavior control in evolutionary computation, and memetic models of object migration automata and cellular learning automata for solving NP hard problems are considered. Next, an overview of multi-population methods for DOPs, LA's application in dynamic optimization problems (DOPs), and the function evaluation management in evolutionary multi-population for DOPs are discussed. Highlighted benefits • Presents the latest advances in learning automata-based optimization approaches. • Addresses the memetic models of learning automata for solving NP-hard problems. • Discusses the application of learning automata for behavior control in evolutionary computation in detail. • Gives the fundamental principles and analyses of the different concepts associated with multi-population methods for dynamic optimization problems.

Learning Automata

K. Najim,A.S. Poznyak
Learning Automata Book PDF

Author : K. Najim,A.S. Poznyak
Publisher : Elsevier
Page : 238 pages
File Size : 47,9 Mb
Release : 2014-06-28
Category : Technology & Engineering
ISBN : 9781483299402

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Learning Automata by K. Najim,A.S. Poznyak Pdf

Learning systems have made a significant impact on all areas of engineering problems. They are attractive methods for solving many problems which are too complex, highly non-linear, uncertain, incomplete or non-stationary, and have subtle and interactive exchanges with the environment where they operate. The main aim of the book is to give a systematic treatment of learning automata and to produce a guide to a wide variety of ideas and methods that can be used in learning systems, including enough theoretical material to enable the user of the relevant techniques and concepts to understand why and how they can be used. The book also contains the materials that are necessary for the understanding and development of learning automata for different purposes such as processes identification, optimization and control. Learning Automata: Theory and Applications may be recommended as a reference for courses on learning automata, modelling, control and optimization. The presentation is intended both for graduate students in control theory and statistics and for practising control engineers.

Emerging Applications of Cellular Automata

Alejandro Salcido
Emerging Applications of Cellular Automata Book PDF

Author : Alejandro Salcido
Publisher : BoD – Books on Demand
Page : 208 pages
File Size : 50,7 Mb
Release : 2013-05-08
Category : Computers
ISBN : 9789535111016

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Emerging Applications of Cellular Automata by Alejandro Salcido Pdf

Cellular automata have become a core subject in the sciences of complexity due to their conceptual simplicity, easiness of implementation for computer simulation, and ability to exhibit a wide variety of amazingly complex behavior. These features of cellular automata have attracted the researchers attention from a wide range of divergent fields of science. In this book, six outstanding emerging cellular automata applications have been compiled. These contributions underline the versatility of cellular automata as models for a wide diversity of complex systems. We hope that, after reading the outstanding contributions compiled in this book, we will have succeeded in bringing across what engineers and scientists are now doing about the application of cellular automata for solving practical problems in diverse disciplines. We also hope that this book will have been to your interest and liking. Lastly, we would like to thank all the authors for their excellent contributions in the different topics of cellular automata covered in this book.

Theory of Practical Cellular Automaton

Xuewei Li,Jinpei Wu,Xueyan Li
Theory of Practical Cellular Automaton Book PDF

Author : Xuewei Li,Jinpei Wu,Xueyan Li
Publisher : Springer
Page : 352 pages
File Size : 40,6 Mb
Release : 2018-05-17
Category : Business & Economics
ISBN : 9789811074974

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Theory of Practical Cellular Automaton by Xuewei Li,Jinpei Wu,Xueyan Li Pdf

This book addresses the intellectual foundations, function, modeling approaches and complexity of cellular automata; explores cellular automata in combination with genetic algorithms, neural networks and agents; and discusses the applications of cellular automata in economics, traffic and the spread of disease. Pursuing a blended approach between knowledge and philosophy, it assigns equal value to methods and applications.

Recent Advances in Learning Automata

Alireza Rezvanian,Ali Mohammad Saghiri,Seyed Mehdi Vahidipour,Mehdi Esnaashari,Mohammad Reza Meybodi
Recent Advances in Learning Automata Book PDF

Author : Alireza Rezvanian,Ali Mohammad Saghiri,Seyed Mehdi Vahidipour,Mehdi Esnaashari,Mohammad Reza Meybodi
Publisher : Springer
Page : 458 pages
File Size : 44,7 Mb
Release : 2018-01-17
Category : Technology & Engineering
ISBN : 9783319724287

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Recent Advances in Learning Automata by Alireza Rezvanian,Ali Mohammad Saghiri,Seyed Mehdi Vahidipour,Mehdi Esnaashari,Mohammad Reza Meybodi Pdf

This book collects recent theoretical advances and concrete applications of learning automata (LAs) in various areas of computer science, presenting a broad treatment of the computer science field in a survey style. Learning automata (LAs) have proven to be effective decision-making agents, especially within unknown stochastic environments. The book starts with a brief explanation of LAs and their baseline variations. It subsequently introduces readers to a number of recently developed, complex structures used to supplement LAs, and describes their steady-state behaviors. These complex structures have been developed because, by design, LAs are simple units used to perform simple tasks; their full potential can only be tapped when several interconnected LAs cooperate to produce a group synergy. In turn, the next part of the book highlights a range of LA-based applications in diverse computer science domains, from wireless sensor networks, to peer-to-peer networks, to complex social networks, and finally to Petri nets. The book accompanies the reader on a comprehensive journey, starting from basic concepts, continuing to recent theoretical findings, and ending in the applications of LAs in problems from numerous research domains. As such, the book offers a valuable resource for all computer engineers, scientists, and students, especially those whose work involves the reinforcement learning and artificial intelligence domains.

Language and Automata Theory and Applications

Adrian Horia Dediu,Armand Mihai Ionescu,Carlos Martin-Vide
Language and Automata Theory and Applications Book PDF

Author : Adrian Horia Dediu,Armand Mihai Ionescu,Carlos Martin-Vide
Publisher : Springer
Page : 754 pages
File Size : 49,7 Mb
Release : 2009-03-31
Category : Mathematics
ISBN : 9783642009822

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Language and Automata Theory and Applications by Adrian Horia Dediu,Armand Mihai Ionescu,Carlos Martin-Vide Pdf

This book constitutes the refereed proceedings of the Third International Conference on Language and Automata Theory and Applications, LATA 2009, held in Tarragona, Spain, in April 2009. The 58 revised full papers presented together with 3 invited lectures and two tutorials were carefully reviewed and selected from 121 submissions. The papers address all the various issues related to automata theory and formal languages.

Language and Automata Theory and Applications

Adrian-Horia Dediu,Carlos Martín-Vide,Shunsuke Inenaga
Language and Automata Theory and Applications Book PDF

Author : Adrian-Horia Dediu,Carlos Martín-Vide,Shunsuke Inenaga
Publisher : Springer Science & Business Media
Page : 524 pages
File Size : 45,5 Mb
Release : 2011-05-19
Category : Computers
ISBN : 9783642212536

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Language and Automata Theory and Applications by Adrian-Horia Dediu,Carlos Martín-Vide,Shunsuke Inenaga Pdf

This book constitutes the refereed proceedings of the 5th International Conference on Language and Automata Theory and Applications, LATA 2011, held in Tarragona, Spain in May 2011. The 36 revised full papers presented together with four invited articles were carefully selected from 91 submissions. Among the topics covered are algebraic language theory, automata and logic, systems analysis, systems verifications, computational complexity, decidability, unification, graph transformations, language-based cryptography, and applications in data mining, computational learning, and pattern recognition.

Identification Of Cellular Automata

Andrew I. Adamatzky
Identification Of Cellular Automata Book PDF

Author : Andrew I. Adamatzky
Publisher : CRC Press
Page : 384 pages
File Size : 44,8 Mb
Release : 1994-11-25
Category : Science
ISBN : 0748401725

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Identification Of Cellular Automata by Andrew I. Adamatzky Pdf

This book presents the foundation and development of the theory of cellular automata identification and its application to natural systems. It first sets out the known and proposes the new classes of cellular automata. Numerous examples are included for ease of understanding. It then deals with the designs of algorithms for cellular automata identification. Conceptual questions of automata theory are next addressed and the focus is shifted from synthesis to analysis and from pronostication to accurate factorization. Finally, the author discusses a number of naturally occuring specific instances with a view to expanding and transforming current ideas on cellular automata practice.

Language and Automata Theory and Applications

Adrian-Horia Dediu,Carlos Martín-Vide
Language and Automata Theory and Applications Book PDF

Author : Adrian-Horia Dediu,Carlos Martín-Vide
Publisher : Springer Science & Business Media
Page : 565 pages
File Size : 46,6 Mb
Release : 2012-02-20
Category : Computers
ISBN : 9783642283314

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Language and Automata Theory and Applications by Adrian-Horia Dediu,Carlos Martín-Vide Pdf

This book constitutes the refereed proceedings of the 6th International Conference on Language and Automata Theory and Applications, LATA 2012, held in A Coruña, Spain in March 2012. The 41 revised full papers presented together with 3 invited talks and 2 invited tutorials were carefully reviewed and selected from 114 initial submissions. The volume features contributions from both classical theory fields and application areas; e.g. innformatics, systems biology, language technology, artificial intelligence, etc. Among the topics covered are algebraic language theory, automata and logic, systems analysis, systems verifications, computational complexity, decidability, unification, graph transformations, language-based cryptography, and applications in data mining, computational learning, and pattern recognition.