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Search and Foraging: Individual Motion and Swarm Dynamics
— —
Eugene Kagan Irad Ben-Gal (Tel Aviv University, Israel)
Search and Foraging: Individual Motion and Swarm Dynamics by Eugene Kagan at Abbey's Bookshop,

Search and Foraging: Individual Motion and Swarm Dynamics

Eugene Kagan Irad Ben-Gal (Tel Aviv University, Israel)


9781482242096

Apple Academic Press Inc.


Artificial intelligence


Hardback

268 pages

$166.00
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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 Levy 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. Numerical examples and laboratory verifications illustrate the application of both theories.

By:   Eugene Kagan, Irad Ben-Gal (Tel Aviv University, Israel)
Imprint:   Apple Academic Press Inc.
Country of Publication:   Canada
Dimensions:   Height: 254mm,  Width: 178mm,  Spine: 20mm
Weight:   680g
ISBN:   9781482242096
ISBN 10:   1482242095
Pages:   268
Publication Date:   June 2015
Audience:   College/higher education ,  Professional and scholarly ,  Further / Higher Education ,  Undergraduate
Format:   Hardback
Publisher's Status:   Active

Eugene Kagan is a senior lecturer in the Department of Industrial Engineering at Ariel University and an advisor in the Department of Mathematics at the Weizmann Institute of Science. His research interests include dynamical systems theory, applied probability, and robotics. Irad Ben-Gal is a professor and the chair of the Department of Industrial Engineering at Tel Aviv University. His research interests include applied probability, machine learning and information theory applications to industrial and service systems as well as business analytics applications.


The book is valuable reading both for teaching inspiration as well as for research insights into optimization, modeling, mathematical biology, and robot programming. -Zentralblatt MATH 1327

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