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(Ebook) Tracking and Mapping of Spatiotemporal Quantities Using Unicellular Swarm Intelligence: Visualisation of Invisible Hazardous Substances Using Unicellular Swarm Intelligence by John Oluwagbemiga Oyekan (auth.) ISBN 9783319274232, 9783319274256, 3319274236, 3319274252

  • SKU: EBN-5355400
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Instant download (eBook) Tracking and Mapping of Spatiotemporal Quantities Using Unicellular Swarm Intelligence: Visualisation of Invisible Hazardous Substances Using Unicellular Swarm Intelligence after payment.
Authors:John Oluwagbemiga Oyekan (auth.)
Pages:202 pages.
Year:2016
Editon:1
Publisher:Springer International Publishing
Language:english
File Size:9.77 MB
Format:pdf
ISBNS:9783319274232, 9783319274256, 3319274236, 3319274252
Categories: Ebooks

Product desciption

(Ebook) Tracking and Mapping of Spatiotemporal Quantities Using Unicellular Swarm Intelligence: Visualisation of Invisible Hazardous Substances Using Unicellular Swarm Intelligence by John Oluwagbemiga Oyekan (auth.) ISBN 9783319274232, 9783319274256, 3319274236, 3319274252

The book discusses new algorithms capable of searching for, tracking, mapping and providing a visualization of invisible substances. It reports on the realization of a bacterium-inspired robotic controller that can be used by an agent to search for any environmental spatial function such as temperature or pollution. Using the parameters of a mathematical model, the book shows that it is possible to control the exploration, exploitation and sensitivity of the agent. This feature sets the work apart from the usual method of applying the bacterium behavior to robotic agents. The book also discusses how a computationally tractable multi-agent robotic controller was developed and used to track as well as provide a visual map of a spatio-temporal distribution of a substance. On the one hand, this book provides biologists and ecologists with a basis to perform simulations related to how individual organisms respond to spatio-temporal factors in their environment as well as predict and analyze the behavior of organisms at a population level. On the other hand, it offers robotic engineers practical and fresh insights into the development of computationally tractable algorithms for spatial exploratory and mapping robots. It also allows a more general audience to gain an understanding of the design of computational intelligence algorithms for autonomous physical systems.
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