Automation Theory and Modeling of Biological Systems
Author: Tsetlin
Publisher: Academic Press
Published: 1974-02-08
Total Pages: 305
ISBN-13: 0080956114
DOWNLOAD EBOOKAutomation Theory and Modeling of Biological Systems
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Author: Tsetlin
Publisher: Academic Press
Published: 1974-02-08
Total Pages: 305
ISBN-13: 0080956114
DOWNLOAD EBOOKAutomation Theory and Modeling of Biological Systems
Author: Mikhail Lvovich Tsetlin
Publisher:
Published: 1973
Total Pages: 288
ISBN-13:
DOWNLOAD EBOOKAuthor: Andreas Deutsch
Publisher: Springer Science & Business Media
Published: 2007-12-26
Total Pages: 331
ISBN-13: 0817644156
DOWNLOAD EBOOKThis book focuses on a challenging application field of cellular automata: pattern formation in biological systems, such as the growth of microorganisms, dynamics of cellular tissue and tumors, and formation of pigment cell patterns. These phenomena, resulting from complex cellular interactions, cannot be deduced solely from experimental analysis, but can be more easily examined using mathematical models, in particular, cellular automaton models. While there are various books treating cellular automaton modeling, this interdisciplinary work is the first one covering biological applications. The book is aimed at researchers, practitioners, and students in applied mathematics, mathematical biology, computational physics, bioengineering, and computer science interested in a cellular automaton approach to biological modeling.
Author: M. L. Tsetlin
Publisher:
Published: 1973
Total Pages: 288
ISBN-13:
DOWNLOAD EBOOKAuthor: Bilotta, Eleonora
Publisher: IGI Global
Published: 2010-06-30
Total Pages: 502
ISBN-13: 1615207880
DOWNLOAD EBOOK"The theme of this book is the use of Cellular Automatas (CAs) to model biological systems, describing 2-D CAs to create populations of "life-like agents" with their own genomes"--Provided by publisher.
Author: Mikhail Lʹvovich T︠S︡etlin
Publisher:
Published: 1973
Total Pages: 312
ISBN-13:
DOWNLOAD EBOOKAutomation theory and modeling of biological systems.
Author: Mihail L'vovič Cetlin
Publisher:
Published: 1973
Total Pages: 288
ISBN-13:
DOWNLOAD EBOOKAuthor: Andreas Deutsch
Publisher: Birkhäuser
Published: 2018-03-09
Total Pages: 470
ISBN-13: 1489979808
DOWNLOAD EBOOKThis text explores the use of cellular automata in modeling pattern formation in biological systems. It describes several mathematical modeling approaches utilizing cellular automata that can be used to study the dynamics of interacting cell systems both in simulation and in practice. New in this edition are chapters covering cell migration, tissue development, and cancer dynamics, as well as updated references and new research topic suggestions that reflect the rapid development of the field. The book begins with an introduction to pattern-forming principles in biology and the various mathematical modeling techniques that can be used to analyze them. Cellular automaton models are then discussed in detail for different types of cellular processes and interactions, including random movement, cell migration, adhesive cell interaction, alignment and cellular swarming, growth processes, pigment cell pattern formation, tissue development, tumor growth and invasion, and Turing-type patterns and excitable media. In the final chapter, the authors critically discuss possibilities and limitations of the cellular automaton approach in modeling various biological applications, along with future research directions. Suggestions for research projects are provided throughout the book to encourage additional engagement with the material, and an accompanying simulator is available for readers to perform their own simulations on several of the models covered in the text. QR codes are included within the text for easy access to the simulator. With its accessible presentation and interdisciplinary approach, Cellular Automaton Modeling of Biological Pattern Formation is suitable for graduate and advanced undergraduate students in mathematical biology, biological modeling, and biological computing. It will also be a valuable resource for researchers and practitioners in applied mathematics, mathematical biology, computational physics, bioengineering, and computer science. PRAISE FOR THE FIRST EDITION “An ideal guide for someone with a mathematical or physical background to start exploring biological modelling. Importantly, it will also serve as an excellent guide for experienced modellers to innovate and improve their methodologies for analysing simulation results.” —Mathematical Reviews
Author: Mikhail Lvovich Tsetlin
Publisher:
Published: 1973
Total Pages: 0
ISBN-13:
DOWNLOAD EBOOKAuthor: Robert J. Rosen
Publisher: Elsevier
Published: 2013-10-02
Total Pages: 349
ISBN-13: 1483271846
DOWNLOAD EBOOKFoundations of Mathematical Biology, Volume II: Cellular Systems describes the properties of cellular systems and their relationship to the development of multicellular organisms. This volume is composed of five chapters that present the mathematical tools applied in evaluating these systems. Chapters 1 illustrates the use of continuous time systems to examine the relationship between the properties of individual cells and the general problems of morphogenesis in developing systems, specifically how these properties could manifest themselves in morphological terms. Chapter 2 demonstrates the systems of rate equations or first-order differential equations to deal with the regulation of individual chemical processes and sequences of such processes, at both the genetic and metabolic levels. Chapter 3 discusses the application of the theory of automata to the evaluation of the concept and principles of embryology, while Chapter 4 presents some relational cell models to study the metabolism-repair cellular systems. Chapter 5 looks into the concept and systems of a compartment. This book will prove useful to mathematical and cell biologists and researchers.