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Identification Of Cellular Automata

Author: Andrew I. Adamatzky
Publisher: CRC Press
ISBN: 9780748401727
Size: 28.46 MB
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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.

Parallel Processing And Applied Mathematics

Author: Roman Wyrzykowski
Publisher: Springer
ISBN: 3642551955
Size: 56.58 MB
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This two-volume-set (LNCS 8384 and 8385) constitutes the refereed proceedings of the 10th International Conference of Parallel Processing and Applied Mathematics, PPAM 2013, held in Warsaw, Poland, in September 2013. The 143 revised full papers presented in both volumes were carefully reviewed and selected from numerous submissions. The papers cover important fields of parallel/distributed/cloud computing and applied mathematics, such as numerical algorithms and parallel scientific computing; parallel non-numerical algorithms; tools and environments for parallel/distributed/cloud computing; applications of parallel computing; applied mathematics, evolutionary computing and metaheuristics.

Nonlinear System Identification

Author: Stephen A. Billings
Publisher: John Wiley & Sons
ISBN: 1118535553
Size: 44.42 MB
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Nonlinear System Identification: NARMAX Methods in the Time, Frequency, and Spatio-Temporal Domains describes a comprehensive framework for the identification and analysis of nonlinear dynamic systems in the time, frequency, and spatio-temporal domains. This book is written with an emphasis on making the algorithms accessible so that they can be applied and used in practice. Includes coverage of: The NARMAX (nonlinear autoregressive moving average with exogenous inputs) model The orthogonal least squares algorithm that allows models to be built term by term where the error reduction ratio reveals the percentage contribution of each model term Statistical and qualitative model validation methods that can be applied to any model class Generalised frequency response functions which provide significant insight into nonlinear behaviours A completely new class of filters that can move, split, spread, and focus energy The response spectrum map and the study of sub harmonic and severely nonlinear systems Algorithms that can track rapid time variation in both linear and nonlinear systems The important class of spatio-temporal systems that evolve over both space and time Many case study examples from modelling space weather, through identification of a model of the visual processing system of fruit flies, to tracking causality in EEG data are all included to demonstrate how easily the methods can be applied in practice and to show the insight that the algorithms reveal even for complex systems NARMAX algorithms provide a fundamentally different approach to nonlinear system identification and signal processing for nonlinear systems. NARMAX methods provide models that are transparent, which can easily be analysed, and which can be used to solve real problems. This book is intended for graduates, postgraduates and researchers in the sciences and engineering, and also for users from other fields who have collected data and who wish to identify models to help to understand the dynamics of their systems.

Computing In Nonlinear Media And Automata Collectives

Author: Andrew Adamatzky
Publisher: CRC Press
ISBN: 1420034545
Size: 73.74 MB
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Computing in Nonlinear Media and Automata Collectives presents an account of new ways to design massively parallel computing devices in advanced mathematical models, such as cellular automata and lattice swarms, from unconventional materials, including chemical solutions, bio-polymers, and excitable media.

Cellular Automata

Author: Georgios Ch. Sirakoulis
Publisher: Springer
ISBN: 3642333508
Size: 66.76 MB
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This book constitutes the refereed proceedings of the 10th International Conference on Cellular Automata for Research and Industry, ACRI 2012, held in Santorini Island, Greece, in September 2012. The 88 revised papers were carefully selected from numerous submissions. In order to give a perspective in which both theoretical and applicational aspects of cellular automata contribute to the growth of the area, this book mirrors the structure of the conference, grouping the 88 papers into two main parts. The first part collects papers presented as part of the main conference and organized according to six main topics: theoretical results on cellular automata; cellular automata dynamics, control and synchronization; cellular automata and networks; modeling and simulation with cellular automata; cellular automata-based hardware and architectures; codes, pseudorandom number generators and cryptography with cellular automata. The second part of the volume is dedicated to contributions presented during the ACRI 2012 workshops on theoretical advances, specifically asynchronous cellular automata, and challenging application contexts for cellular automata: crowds and CA, traffic and CA, and the satellite Workshop on cellular automata of cancer growth and invasion.

Challenging Problems And Solutions In Intelligent Systems

Author: Guy de Trė
Publisher: Springer
ISBN: 3319301659
Size: 63.44 MB
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This volume presents recent research, challenging problems and solutions in Intelligent Systems– covering the following disciplines: artificial and computational intelligence, fuzzy logic and other non-classic logics, intelligent database systems, information retrieval, information fusion, intelligent search (engines), data mining, cluster analysis, unsupervised learning, machine learning, intelligent data analysis, (group) decision support systems, intelligent agents and multi-agent systems, knowledge-based systems, imprecision and uncertainty handling, electronic commerce, distributed systems, etc. The book defines a common ground for sometimes seemingly disparate problems and addresses them by using the paradigm of broadly perceived intelligent systems. It presents a broad panorama of a multitude of theoretical and practical problems which have been successfully dealt with using the paradigm of intelligent computing.

Cellular Automata

Author: Joel L. Schiff
Publisher: John Wiley & Sons
ISBN: 111803063X
Size: 74.84 MB
Format: PDF, Kindle
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An accessible and multidisciplinaryintroduction to cellularautomata As the applicability of cellular automata broadens andtechnology advances, there is a need for a concise, yet thorough,resource that lays the foundation of key cellularautomata rules andapplications. In recent years, Stephen Wolfram's A New Kind ofScience has brought the modeling power that lies in cellularautomata to the attentionof the scientific world, and now, CellularAutomata: A Discrete View of the World presents all the depth,analysis, and applicability of the classic Wolfram text in astraightforward, introductory manner. This book offers anintroduction to cellular automata as a constructive method formodeling complex systems where patterns of self-organizationarising from simple rules are revealed in phenomena that existacross a wide array of subject areas, including mathematics,physics, economics, and the social sciences. The book begins with a preliminary introduction to cellularautomata, including a brief history of the topic along withcoverage of sub-topics such as randomness, dimension, information,entropy, and fractals. The author then provides a completediscussion of dynamical systems and chaos due to their closeconnection with cellular automata and includes chapters that focusexclusively on one- and two-dimensional cellular automata. The nextand most fascinating area of discussion is the application of thesetypes of cellular automata in order to understand the complexbehavior that occurs in natural phenomena. Finally, the continuallyevolving topic of complexity is discussed with a focus on how toproperly define, identify, and marvel at its manifestations invarious environments. The author's focus on the most important principles of cellularautomata, combined with his ability to present complex material inan easy-to-follow style, makes this book a very approachable andinclusive source for understanding the concepts and applications ofcellular automata. The highly visual nature of the subject isaccented with over 200 illustrations, including an eight-page colorinsert, which provide vivid representations of the cellularautomata under discussion. Readers also have the opportunity tofollow and understand the models depicted throughout the text andcreate their own cellular automata using Java applets and simplecomputer code, which are available via the book's FTP site. Thisbook serves as a valuable resource for undergraduate and graduatestudents in the physical, biological, and social sciences and mayalso be of interest to any reader with a scientific or basicmathematical background.