Swarm Intelligence: From Natural to Artificial Systems by Eric Bonabeau,Marco Dorigo,Guy Theraulaz

By Eric Bonabeau,Marco Dorigo,Guy Theraulaz

Social insects--ants, bees, termites, and wasps--can be seen as robust problem-solving structures with subtle collective intelligence. Composed of easy interacting brokers, this intelligence lies within the networks of interactions between members and among participants and the surroundings. a desirable topic, social bugs also are a robust metaphor for synthetic intelligence, and the issues they solve--finding meals, dividing hard work between nestmates, development nests, responding to exterior challenges--have vital opposite numbers in engineering and desktop science.

This ebook presents an in depth examine versions of social insect habit and the way to use those types within the layout of complicated structures. The publication indicates how those types exchange an emphasis on keep an eye on, preprogramming, and centralization with designs that includes autonomy, emergence, and allotted functioning. those designs are proving immensely versatile and strong, in a position to adapt quick to altering environments and to proceed functioning even if person parts fail. specifically, those designs are a thrilling method of the great development of complexity in software program and data. Swarm Intelligence attracts on updated examine from biology, neuroscience, synthetic intelligence, robotics, operations examine, and special effects, and every bankruptcy is equipped round a specific organic instance, that is then used to increase an set of rules, a multiagent process, or a gaggle of robots. The ebook should be a useful source for a vast variety of disciplines.

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

Social insects--ants, bees, termites, and wasps--can be seen as strong problem-solving structures with subtle collective intelligence. Composed of straightforward interacting brokers, this intelligence lies within the networks of interactions between contributors and among participants and the surroundings. a desirable topic, social bugs also are a robust metaphor for man made intelligence, and the issues they solve--finding meals, dividing hard work between nestmates, construction nests, responding to exterior challenges--have vital opposite numbers in engineering and machine technological know-how.

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