Bonabeau eric (54 Ergebnisse)
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Self-Organization in Biological Systems (Princeton Studies in Complexity, 38)
Bonabeau, Eric,Theraula, Guy,Sneyd, James,Franks, Nigel R.,Deneubourg, Jean-Louis,Camazine, Scott
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Paperback. Zustand: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority.
Self-Organization in Biological Systems
Scott Camazine,Jean-Louis Deneubourg,Nigel R. Franks,Sneyd, James,Theraulaz, Guy,Bonabeau, Eric
Sprache: Englisch
Verlag: Princeton University Press, 2001
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hardcover. Zustand: Acceptable. Connecting readers with great books since 1972. Used textbooks may not include companion materials such as access codes, etc. May have condition issues including wear and notes/highlighting. We ship orders daily and Customer Service is our top priority.
- Softcover
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paperback. Zustand: New. In shrink wrap. Looks like an interesting title.
Self-Organization in Biological Systems
Camazine, Scott; Deneubourg, Jean-Louis; Franks, Nigel R.; Sneyd, James; Theraulaz, Guy; Bonabeau, Eric
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Swarm Intelligence
Bonabeau, Eric; Dorigo, Marco (Researcher, Free University of Brussels, Belgium); Theraulaz, Guy (Researcher, CNRS, University Paul Sabatier, France)
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Zustand: New. Presents a combination of biology and computer science (including artificial intelligence, robotics, operations research, information display, and computer graphics), modelling the mechanisms underlying collective behaviour in social insects. This work talks about swarm intelligence, a subfield of artificial intell…igence. Series: Santa Fe Institute Studies in the Sciences of Complexity. Num Pages: 320 pages, numerous halftone and line illustrations. BIC Classification: PSAN; RNC; RNT; UY. Category: (P) Professional & Vocational. Dimension: 232 x 155 x 15. Weight in Grams: 472. . 1999. Paperback. . . . .
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Swarm Intelligence
Bonabeau, Eric; Dorigo, Marco (Researcher, Free University of Brussels, Belgium); Theraulaz, Guy (Researcher, CNRS, University Paul Sabatier, France)
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Zustand: New. Presents a combination of biology and computer science (including artificial intelligence, robotics, operations research, information display, and computer graphics), modelling the mechanisms underlying collective behaviour in social insects. This work talks about swarm intelligence, a subfield of artificial intell…igence. Series: Santa Fe Institute Studies in the Sciences of Complexity. Num Pages: 320 pages, numerous halftone and line illustrations. BIC Classification: PSAN; RNC; RNT; UY. Category: (P) Professional & Vocational. Dimension: 232 x 155 x 15. Weight in Grams: 472. . 1999. Paperback. . . . . Books ship from the US and Ireland.
Self-Organization in Biological Systems
Camazine, Scott; Deneubourg, Jean-Louis; Franks, Nigel R.; Sneyd, James; Theraulaz, Guy; Bonabeau, Eric
- Softcover
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Self-Organization in Biological Systems
Jean-Louis Deneubourg, Nigel R. Franks, James Sneyd, Eric Bonabeau, Scott Camazine, Guy Theraulaz
- Softcover
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Paperback. Zustand: New. 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 n…ew 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.
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Self-Organization in Biological Systems
Jean-Louis Deneubourg, Nigel R. Franks, James Sneyd, Eric Bonabeau, Scott Camazine, Guy Theraulaz
- Softcover
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Paperback. Zustand: New. 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 n…ew 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.
- Softcover
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- Softcover
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- Softcover
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Paperback. Zustand: New. Illustrated. Social insects--ants, bees, termites, and wasps--can be viewed as powerful problem-solving systems with sophisticated collective intelligence. Composed of simple interacting agents, this intelligence lies in the networks of interactions among individuals and between individuals and the envir…onment. A fascinating subject, social insects are also a powerful metaphor for artificial intelligence, and the problems they solve--finding food, dividing labor among nestmates, building nests, responding to external challenges--have important counterparts in engineering and computer science. This book provides a detailed look at models of social insect behaviour and how to apply these models in the design of complex systems. The book shows how these models replace an emphasis on control, preprogramming, and centralization with designs featuring autonomy, emergence, and distributed functioning. These designs are proving immensely flexible and robust, able to adapt quickly to changing environments and to continue functioning even when individual elements fail. 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. The book will be an invaluable resource for a broad range of disciplines.
Self-Organization in Biological Systems
Camazine, Scott; Deneubourg, Jean-Louis; Franks, Nigel R.; Sneyd, James; Theraulaz, Guy; Bonabeau, Eric
- Softcover
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- Softcover
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- Softcover
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Zustand: As New. Unread book in perfect condition.
Self-Organization in Biological Systems
Camazine, Scott; Deneubourg, Jean-Louis; Franks, Nigel R.; Sneyd, James; Theraulaz, Guy; Bonabeau, Eric
- Softcover
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Self-Organization in Biological Systems
Jean-Louis Deneubourg, Nigel R. Franks, James Sneyd, Eric Bonabeau, Scott Camazine, Guy Theraulaz
- Softcover
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Paperback. Zustand: New. 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 n…ew 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: (Princeton Studies in Complexity)
Scott Camazine/ Jean-Louis Deneubourg/ Nigel R. Franks/ James Sneyd/ Guy Theraula/ Eric Bonabeau
- Softcover
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Paperback. Zustand: Brand New. 560 pages. 9.00x6.00x1.25 inches. In Stock.
Self-Organization in Biological Systems
Jean-Louis Deneubourg, Nigel R. Franks, James Sneyd, Eric Bonabeau, Scott Camazine, Guy Theraulaz
- Softcover
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Paperback. Zustand: New. 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 n…ew 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.
- Softcover
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Paperback. Zustand: New. Illustrated. Social insects--ants, bees, termites, and wasps--can be viewed as powerful problem-solving systems with sophisticated collective intelligence. Composed of simple interacting agents, this intelligence lies in the networks of interactions among individuals and between individuals and the envir…onment. A fascinating subject, social insects are also a powerful metaphor for artificial intelligence, and the problems they solve--finding food, dividing labor among nestmates, building nests, responding to external challenges--have important counterparts in engineering and computer science. This book provides a detailed look at models of social insect behaviour and how to apply these models in the design of complex systems. The book shows how these models replace an emphasis on control, preprogramming, and centralization with designs featuring autonomy, emergence, and distributed functioning. These designs are proving immensely flexible and robust, able to adapt quickly to changing environments and to continue functioning even when individual elements fail. 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. The book will be an invaluable resource for a broad range of disciplines.
- Hardcover
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hardcover. Zustand: New. In shrink wrap. Looks like an interesting title.
- Hardcover
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