Marco Dorigo

Eric Bonabeau

Directeur de Recherches Du Fnrs Marco Dorigo

Guy Theraulaz

Eric (Postdoctoral Fellow Bonabeau, Postdoctoral Fellow Santa Fe Institute)

Guy Théraulaz

Marco (Researcher Dorigo, Researcher Free University of Brussels)

Guy (Researcher Theraulaz, Researcher CNRS University Paul Sabatier)

In particular, these designs are an exciting approach to the tremendous growth of complexity in software and information. Swarm Intelligence draws on up-to-date research from biology, neuroscience, artificial intelligence, robotics, operations research, and computer graphics, and each chapter is organized around a particular biological example, which is then used to develop an algorithm, a multiagent system, or a group of robots.

From Natural to Artificial Systems

Swarm Intelligence

J. L. Deneubourg

Bertrand Schatz

SFI Economics Program

The Self-organization Hypothesis Revisited

Dominance Orders in Animal Societies

Nigel R. Franks

Scott Camazine

James Sneyd

Guy Theraula

Jean-Louis Deneubourg

Biological structures built through mechanisms involving self-organization are examined in this text. Examples of such structures are termite mounds, which provide their inhabitants with a secure & stable environment. The text looks at why & how self-organization occurs in nature.

Self-organization in Biological Systems

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.

Self-Organization in Biological Systems

Eric Bonabeau

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