Search and foraging : individual motion and swarm dynamics
- Responsibility
- Eugene Kagan, Ariel University and the Weizmann Institute of Science, Israel; Irad Ben-Gal, Tel Aviv University, Israel.
- Publication
- Boca Raton : CRC Press, [2015]
- Copyright notice
- ©2015
- Physical description
- 1 online resource : text file, PDF
Online
Available online
More options
Description
Creators/Contributors
- Author/Creator
- Kagan, Eugene author.
- Contributor
- Ben-Gal, Irad, author.
Contents/Summary
- Bibliography
- Includes bibliographical references (pages 225-235) and index.
- Contents
-
- 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. Conclusion. Bibliography. Index.
- (source: Nielsen Book Data)
- Introduction Group Testing Search and Screening Games of Search Foraging Goal and Structure of This Book
- Methods of Optimal Search and Screening Location Probabilities and Search Density Search for a Static Target Search for a Moving Target
- Methods of Optimal Foraging Preying and Foraging by Patches Spatial Dynamics of Populations Methods of Optimal Foraging Inferences and Restrictions
- Models of Individual Search and Foraging Movements of the Agents and Their Trajectories Brownian Search and Foraging Foraging by Levy Flights Algorithms of Probabilistic Search and Foraging
- Coalitional Search and Swarm Dynamics Swarming and Collective Foraging Foraging by Multiple Foragers in Random Environment Modeling by Active Brownian Motion Turing System for the Swarm Foraging
- Remarks on Swarm Robotic Systems for Search and Foraging
- Conclusion
- Bibliography
- Index
- A Summary appears at the end of each chapter.
- (source: Nielsen Book Data)
- Publisher's summary
-
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 ar.
(source: Nielsen Book Data)
- Publisher's summary
-
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.
(source: Nielsen Book Data)
Subjects
Bibliographic information
- Publication date
- 2015
- Copyright date
- 2015
- Note
- "A Chapman & Hall book."
- Note
- Also available in print format.
- ISBN
- 9781482242102 (e-book : PDF)
- 1482242109 (electronic bk.)
- 1482242095
- 9781482242096
- 9781482242096
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