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001 978-981-287-751-2
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020 _a9789812877512
_9978-981-287-751-2
024 7 _a10.1007/978-981-287-751-2
_2doi
050 4 _aTA352-356
050 4 _aQC20.7.N6
072 7 _aTBJ
_2bicssc
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_2thema
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082 0 4 _a515.39
_223
100 1 _aBouffanais, Roland.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_957564
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.
300 _aXI, 106 p. 30 illus., 28 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aSpringerBriefs in Complexity,
_x2191-5334
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
650 0 _aNonlinear theories.
_93339
650 0 _aSystem theory.
_93409
650 0 _aControl engineering.
_931970
650 0 _aMathematical physics.
_911013
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
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9789812877505
776 0 8 _iPrinted edition:
_z9789812877529
830 0 _aSpringerBriefs in Complexity,
_x2191-5334
_957567
856 4 0 _uhttps://doi.org/10.1007/978-981-287-751-2
912 _aZDB-2-ENG
912 _aZDB-2-SXE
942 _cEBK
999 _c79970
_d79970