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Cellular Automaton Modeling of Biological Pattern Formation

Characterization, Applications, and Analysis

Andreas Deutsch, Sabine Dormann (Autoren)

Buch | Hardcover

331 Seiten

2004 | 2005 ed.
Birkhauser Boston Inc (Verlag)
978-0-8176-4281-5 (ISBN)

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Cellular Automaton Modeling of Biological Pattern Formation

Andreas Deutsch, Sabine Dormann

2018

Buch | Hardcover

CHF 99, ⁹⁵

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This 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.

Foreword - Philip K. Maini List of Figures List of Notation Introduction and Outline On the Origin of Patterns Mathematical Modeling of Biological Pattern Formation Cellular Automata Random Movement Growth Processes Adhesive Cell Interaction Alignment and Cellular Swarming Pigment Cell Pattern Formation Tissue and Tumor Development Turing Patterns and Excitable Media Discussion and Outlook Appendix A. Growth Processes: A Mean-Field Equation Appendix B. Turing Patterns Appendix C. Excitable Media: Complete Interaction Rule Appendix D. Isotropy, Lattices, and Tensors References Index

Reihe/Serie	Modeling and Simulation in Science, Engineering and Technology
Vorwort	Philip K. Maini
Zusatzinfo	XXIII, 331 p.
Verlagsort	Secaucus
Sprache	englisch
Maße	156 x 234 mm
Gewicht	1500 g
Themenwelt	Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
	Mathematik / Informatik ► Mathematik
	Naturwissenschaften ► Biologie
	Technik ► Maschinenbau
	Technik ► Nachrichtentechnik
ISBN-10	0-8176-4281-1 / 0817642811
ISBN-13	978-0-8176-4281-5 / 9780817642815
Zustand	Neuware