000 | 03801nam a22006015i 4500 | ||
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001 | 978-3-319-27425-6 | ||
003 | DE-He213 | ||
005 | 20180206182941.0 | ||
007 | cr nn 008mamaa | ||
008 | 151218s2016 gw | s |||| 0|eng d | ||
020 |
_a9783319274256 _9978-3-319-27425-6 |
||
050 | 4 | _aTJ210.2-211.495 | |
050 | 4 | _aT59.5 | |
072 | 7 |
_aTJFM1 _2bicssc |
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_aTEC037000 _2bisacsh |
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072 | 7 |
_aTEC004000 _2bisacsh |
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082 | 0 | 4 |
_a629.892 _223 |
100 | 1 |
_aOyekan, John. _eauthor. |
|
245 | 1 | 0 |
_aTracking and Mapping of Spatiotemporal Quantities Using Unicellular Swarm Intelligence _h[recurso electrónico] : _bVisualisation of Invisible Hazardous Substances Using Unicellular Swarm Intelligence / _cby John Oyekan. |
264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2016. |
|
300 |
_aX, 194 p. 128 illus., 75 illus. in color. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
||
338 |
_aonline resource _bcr _2rdacarrier |
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347 |
_atext file _bPDF _2rda |
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490 | 1 |
_aBiosystems & Biorobotics, _x2195-3562 ; _v14 |
|
505 | 0 | _aIntroduction -- Literature Review -- Investigative Process -- Developing and Implementing a Source Finding Controller -- Relationship between the Berg-Brown Model and the Keller-Segel Model -- Behaviour Based Coverage Controller -- Improvements and towards RealWorld Applications -- Conclusion. | |
520 | _aThe 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. | ||
650 | 0 | _aEngineering. | |
650 | 0 | _aMicrobiology. | |
650 | 0 | _aSystem theory. | |
650 | 0 | _aComplexity, Computational. | |
650 | 0 | _aRobotics. | |
650 | 0 | _aAutomation. | |
650 | 0 | _aEnvironmental engineering. | |
650 | 0 | _aBiotechnology. | |
650 | 1 | 4 | _aEngineering. |
650 | 2 | 4 | _aRobotics and Automation. |
650 | 2 | 4 | _aComplexity. |
650 | 2 | 4 | _aEnvironmental Engineering/Biotechnology. |
650 | 2 | 4 | _aMicrobiology. |
650 | 2 | 4 | _aComplex Systems. |
650 | 2 | 4 | _aStatistical Physics and Dynamical Systems. |
710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer eBooks | |
776 | 0 | 8 |
_iPrinted edition: _z9783319274232 |
830 | 0 |
_aBiosystems & Biorobotics, _x2195-3562 ; _v14 |
|
856 | 4 | 0 |
_zLibro electrónico _uhttp://148.231.10.114:2048/login?url=http://dx.doi.org/10.1007/978-3-319-27425-6 |
912 | _aZDB-2-ENG | ||
942 | _cLIBRO_ELEC | ||
999 |
_c225614 _d225614 |