000 | 03819nam a22006015i 4500 | ||
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001 | 978-981-287-751-2 | ||
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008 | 151016s2016 si | s |||| 0|eng d | ||
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_a10.1007/978-981-287-751-2 _2doi |
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050 | 4 | _aTA352-356 | |
050 | 4 | _aQC20.7.N6 | |
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_a515.39 _223 |
100 | 1 |
_aBouffanais, Roland. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _957564 |
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245 | 1 | 0 |
_aDesign and Control of Swarm Dynamics _h[electronic resource] / _cby Roland Bouffanais. |
250 | _a1st ed. 2016. | ||
264 | 1 |
_aSingapore : _bSpringer Nature Singapore : _bImprint: Springer, _c2016. |
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300 |
_aXI, 106 p. 30 illus., 28 illus. in color. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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347 |
_atext file _bPDF _2rda |
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490 | 1 |
_aSpringerBriefs in Complexity, _x2191-5334 |
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505 | 0 | _aComplexity and swarming systems -- A biologically-inspired approach to collective behaviors -- A physical approach to swarming -- A network-theoretic approach to collective dynamics -- An information-theoretic approach to collective behaviors -- A computational approach to collective behaviors -- Outlook: Can swarms be designed?. | |
520 | _aThe book is about the key elements required for designing, building and controlling effective artificial swarms comprised of multiple moving physical agents. Therefore this book presents the fundamentals of each of those key elements in the particular frame of dynamic swarming, specifically exposing the profound connections between these elements and establish some general design principles for swarming behaviors. This scientific endeavor requires an inter-disciplinary approach: biomimetic inspiration from ethology and ecology, study of social information flow, analysis of temporal and adaptive signaling network of interaction, considerations of control of networked real-time systems, and lastly, elements of complex adaptive dynamical systems. This book offers a completely new perspective on the scientific understanding of dynamic collective behaviors thanks to its multi-disciplinary approach and its focus on artificial swarm of physical agents. Two of the key problems in understanding the emergence of swarm intelligent behaviors are identifying the social interaction rules a.k.a. the behavioral algorithm and uncovering how information flows between swarming agents. While most books about swarm dynamics have been focusing on the former, this book emphasizes the much-less discussed topic of distributed information flow, always with the aim of establishing general design principles. | ||
650 | 0 |
_aDynamics. _957565 |
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650 | 0 |
_aNonlinear theories. _93339 |
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650 | 0 |
_aSystem theory. _93409 |
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650 | 0 |
_aControl engineering. _931970 |
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650 | 0 |
_aMathematical physics. _911013 |
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650 | 1 | 4 |
_aApplied Dynamical Systems. _932005 |
650 | 2 | 4 |
_aComplex Systems. _918136 |
650 | 2 | 4 |
_aControl and Systems Theory. _931972 |
650 | 2 | 4 |
_aTheoretical, Mathematical and Computational Physics. _931560 |
710 | 2 |
_aSpringerLink (Online service) _957566 |
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773 | 0 | _tSpringer Nature eBook | |
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_iPrinted edition: _z9789812877505 |
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_aSpringerBriefs in Complexity, _x2191-5334 _957567 |
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856 | 4 | 0 | _uhttps://doi.org/10.1007/978-981-287-751-2 |
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