Swarm Intelligence : From Natural to Artificial Systems (Santa Fe Institute Studies on the Sciences of Complexity)

@book{citeulike:551109, abstract = {{ 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<br>environment. 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. <br> <br>This book provides a detailed look at models of social insect behavior 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<br>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<br>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<br>system, or a group of robots. The book will be an invaluable resource for a broad range of disciplines. }}, author = {Bonabeau, Eric and Dorigo, Marco and Theraulaz, Guy }, citeulike-article-id = {551109}, howpublished = {Paperback}, isbn = {0195131592}, keywords = {ai, artificial, eni, intelligence, networks, social, swarms}, month = {September}, posted-at = {2006-03-14 13:02:53}, priority = {2}, publisher = {{Oxford University Press, USA}}, title = {Swarm Intelligence : From Natural to Artificial Systems (Santa Fe Institute Studies on the Sciences of Complexity)}, url = {http://www.amazon.ca/exec/obidos/redirect?tag=citeulike09-20\&amp;path=ASIN/0195131592}, year = {1999} }

TY - BOOK ID - citeulike:551109 L3 - citeulike-article-id:551109 TI - Swarm Intelligence : From Natural to Artificial Systems (Santa Fe Institute Studies on the Sciences of Complexity) PB - {Oxford University Press, USA} SN - 0195131592 N2 - { 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<br>environment. 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. <br> <br>This book provides a detailed look at models of social insect behavior 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<br>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<br>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<br>system, or a group of robots. The book will be an invaluable resource for a broad range of disciplines. } KW - ai KW - artificial KW - eni KW - intelligence KW - networks KW - social KW - swarms AU - Bonabeau, Eric AU - Dorigo, Marco AU - Theraulaz, Guy PY - 1999/09/23/ UR - http://www.amazon.ca/exec/obidos/redirect?tag=citeulike09-20&amp;path=ASIN/0195131592 ER -