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Search and Foraging : Individual Motion and Swarm Dynamics /

"Since the start of modern computing, the studies of living organisms have inspired the progress in developing computers and intelligent machines. In particular, the methods of search and foraging are the benchmark problems for robotics and multi-agent systems. The highly developed theory of se...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Kagan, Eugene (Autor), Ben-Gal, Irad (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Chapman and Hall/CRC, 2015.
Edición:1st.
Temas:
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)

MARC

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100 1 |a Kagan, Eugene,  |e author  |u The Weizmann Institute of Sciences, Rehovot, Israel 
245 1 0 |a Search and Foraging :  |b Individual Motion and Swarm Dynamics /  |c Eugene Kagan, Irad Ben-Gal. 
250 |a 1st. 
264 1 |b Chapman and Hall/CRC,  |c 2015. 
300 |a 1 online resource (268 pages :  |b 230 illustrations 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
505 0 |a Introduction -- Methods of optimal search and screening -- Methods of optimal foraging -- Models of individual search and foraging -- Coalitional search and swarm dynamics -- Remarks on swarm robotic systems for search and foraging. 
520 |a "Since the start of modern computing, the studies of living organisms have inspired the progress in developing computers and intelligent machines. In particular, the methods of search and foraging are the benchmark problems for robotics and multi-agent systems. The highly developed theory of search and screening involves optimal search plans that are obtained by standard optimization techniques while the foraging theory addresses search plans that mimic the behavior of living foragers. Search and Foraging: Individual Motion and Swarm Dynamics examines how to program artificial search agents so that they demonstrate the same behavior as predicted by the foraging theory for living organisms. For cybernetics, this approach yields techniques that enable the best online search planning in varying environments. For biology, it allows reasonable insights regarding the internal activity of living organisms performing foraging tasks. The book discusses foraging theory as well as search and screening theory in the same mathematical and algorithmic framework. It presents an overview of the main ideas and methods of foraging and search theories, making the concepts of one theory accessible to specialists of the other. The book covers Brownian walks and Lévy flight models of individual foraging and corresponding diffusion models and algorithms of search and foraging in random environments both by single and multiple agents. It also describes the active Brownian motion models for swarm dynamics with corresponding Fokker-Planck equations. Numberical examples and laboratory verifications illustrate the application of both theories"--Back cover. 
590 |a O'Reilly  |b O'Reilly Online Learning: Academic/Public Library Edition 
650 0 |a Search theory. 
650 0 |a Searching behavior  |x Mathematical models. 
650 0 |a Swarm intelligence  |x Mathematical models. 
650 0 |a Search engines. 
650 0 |a Cybernetics. 
650 2 |a Decision Theory 
650 2 |a Search Engine 
650 2 |a Cybernetics 
650 6 |a Théorie de la décision. 
650 6 |a Comportement de recherche  |x Modèles mathématiques. 
650 6 |a Moteurs de recherche. 
650 6 |a Cybernétique. 
650 7 |a search engines.  |2 aat 
650 7 |a cybernetics.  |2 aat 
650 7 |a Cybernetics.  |2 fast  |0 (OCoLC)fst00885777 
650 7 |a Search engines.  |2 fast  |0 (OCoLC)fst01110372 
650 7 |a Search theory.  |2 fast  |0 (OCoLC)fst01110374 
650 7 |a Searching behavior  |x Mathematical models.  |2 fast  |0 (OCoLC)fst01110386 
700 1 |a Ben-Gal, Irad,  |e author. 
856 4 0 |u https://learning.oreilly.com/library/view/~/9781482242102/?ar  |z Texto completo (Requiere registro previo con correo institucional) 
994 |a 92  |b IZTAP