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امتیاز کاربران

ستاره غیر فعالستاره غیر فعالستاره غیر فعالستاره غیر فعالستاره غیر فعال
 

انتشارات: Oxford University Press

اثر: Eric Bonabeau & Marco Dorigo & Guy Theraulaz

تعداد صفحه: 320

حجم: 16.7MB

جلد کتاب

توضیحات کتاب (خلاصه پیشگفتار):

The social insect metaphor for solving problems has become a hot topic in the last five years. This approach emphasizes distributedness, direct or indirect interactions among relatively simple agents, flexibility, and robustness. The number of its successful applications is exponentially growing in combinatorial optimization, communications networks, and robotics. More and more researchers are interested in this new exciting way of achieving a form of artificial intelligence, swarm intelligence— the emergent collective intelligence of groups of simple agents. Researchers have good reasons to find swarm intelligence appealing: at a time when the world is becoming so complex that no single human being can understand it, when information (and not the lack of it) is threatening our lives, when software systems become so intractable that they can no longer be controlled, swarm intelligence offers an alternative way of designing "intelligent" systems, in which autonomy, emergence, and distributed functioning replace control, preprogramming, and centralization. But the field of swarm intelligence relies to a large extent on fragmented knowledge and no attempt had been made at putting all the pieces together.

 

Therefore, the timing seemed just perfect to summarize for the first time the advances made in, and provide an organized survey of, this new field. Not only do we now have enough material to justify the publication of a book on swarm intelligence, but the growing interest of many researchers and the potential usefulness of explicitly connecting the functioning principles of social insect colonies to the design principles of artificial systems were also important factors in our decision to undertake the writing of this book.

Each chapter is organized around a biological example (foraging, division of labor, corpse clustering, larval sorting, nest building, and cooperative transport): the example is described, modeled (when a model exists), and used as a metaphor to design an algorithm, a multiagent system, or a group of robots. Although the resulting book is rather unusual since biological modeling and engineering are equally important, hopefully the reader will find our work enjoyable and useful.

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