Self-Organization in Biological Systems / / Scott Camazine, Jean-Louis Deneubourg, Eric Bonabeau, James Sneyd, Guy Theraula, Nigel R. Franks.

• Superior document: Title is part of eBook package: De Gruyter Princeton University Press eBook-Package Backlist 2000-2013
• VerfasserIn: Camazine, Scott,; Bonabeau, Eric,; Deneubourg, Jean-Louis,; Franks, Nigel R.,; Theraula, Guy,
• Place / Publishing House: Princeton, NJ : : Princeton University Press, , [2020]; ©2001
• Year of Publication: 2020
• Language: English
• Series: Princeton Studies in Complexity ; 38
• Physical Description: 1 online resource (562 p.) :; 8 color plates. 32 halftones. 180 line illus. 3 tables.
• Other title: Frontmatter --; Contents --; Explanation of Color Plates --; Prologue: Aims and Scope of the Book --; Part I. Introduction to Biological Self-Organization --; Chapter 1 - What Is Self-Organization? --; Chapter 2 - How Self-Organization Works --; Chapter 3 - Characteristics of Self-Organizing Systems --; Chapter 4 - Alternatives to Self-Organization --; Chapter 5 - Why Self-Organization? --; Chapter 6 - Investigation of Self-Organization --; Chapter 7 - Misconceptions about Self-Organization --; Part II. Case Studies --; Chapter 8 - Pattern Formation in Slime Molds and Bacteria --; Chapter 9 - Feeding Aggregations of Bark Beetles --; Chapter 10 - Synchronized Flashing among Fireflies --; Chapter 11 - Fish Schooling --; Chapter 12 - Nectar Source Selection by Honey Bees --; Chapter 13 - Trail Formation in Ants --; Chapter 14 - The Swarm Raids of Army Ants --; Chapter 15 - Colony Thermoregulation in Honey Bees --; Chapter 16 - Comb Patterns in Honey Bee Colonies --; Chapter 17 - Wall Building by Ants --; Chapter 18 - Termite Mound Building --; Chapter 19 - Construction Algorithms in Wasps --; Chapter 20 - Dominance Hierarchies in Paper Wasps --; Part III. Conclusions --; Chapter 21 - Lessons, Speculations, and the Future of Self-Organization --; Notes --; References --; Index
• Format: Mode of access: Internet via World Wide Web.
• ISBN: 9780691212920; 9783110442502
• DOI: 10.1515/9780691212920?locatt=mode:legacy
• Access: restricted access
• Hierarchical level: Monograph
• Statement of Responsibility: Scott Camazine, Jean-Louis Deneubourg, Eric Bonabeau, James Sneyd, Guy Theraula, Nigel R. Franks.

The synchronized flashing of fireflies at night. The spiraling patterns of an aggregating slime mold. The anastomosing network of army-ant trails. The coordinated movements of a school of fish. Researchers are finding in such patterns--phenomena that have fascinated naturalists for centuries--a fertile new approach to understanding biological systems: the study of self-organization. This book, a primer on self-organization in biological systems for students and other enthusiasts, introduces readers to the basic concepts and tools for studying self-organization and then examines numerous examples of self-organization in the natural world. Self-organization refers to diverse pattern formation processes in the physical and biological world, from sand grains assembling into rippled dunes to cells combining to create highly structured tissues to individual insects working to create sophisticated societies. What these diverse systems hold in common is the proximate means by which they acquire order and structure. In self-organizing systems, pattern at the global level emerges solely from interactions among lower-level components. Remarkably, even very complex structures result from the iteration of surprisingly simple behaviors performed by individuals relying on only local information. This striking conclusion suggests important lines of inquiry: To what degree is environmental rather than individual complexity responsible for group complexity? To what extent have widely differing organisms adopted similar, convergent strategies of pattern formation? How, specifically, has natural selection determined the rules governing interactions within biological systems? Broad in scope, thorough yet accessible, this book is a self-contained introduction to self-organization and complexity in biology--a field of study at the forefront of life sciences research.