000 03482nam a22005175i 4500
001 978-3-319-50461-2
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008 170216s2017 sz | s |||| 0|eng d
020 _a9783319504612
_9978-3-319-50461-2
024 7 _a10.1007/978-3-319-50461-2
_2doi
050 4 _aQ342
072 7 _aUYQ
_2bicssc
072 7 _aTEC009000
_2bisacsh
072 7 _aUYQ
_2thema
082 0 4 _a006.3
_223
100 1 _aSapaty, Peter Simon.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_961907
245 1 0 _aManaging Distributed Dynamic Systems with Spatial Grasp Technology
_h[electronic resource] /
_cby Peter Simon Sapaty.
250 _a1st ed. 2017.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2017.
300 _aXVII, 284 p. 215 illus., 167 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 _aStudies in Computational Intelligence,
_x1860-9503 ;
_v690
505 0 _aChapter 1 Introduction -- Chapter 2 Some Theoretical Background -- Chapter 3 Spatial Grasp Model -- Chapter 4 SGL Detailed Specification -- Chapter 5 Main Spatial Mechanisms in SGL -- Chapter 6 SGL Networked Interpreter -- Chapter 7 Creation, Activation and Management of a Distributed World -- Chapter 8 Parallel and Distributed Network Operations -- Chapter 9 Solving Social Problems -- Chapter 10 Automated Command and Control -- Chapter 11 Collective Robotics -- Chapter 12 Conclusions.
520 _aThe book describes a novel ideology and supporting information technology for integral management of both civil and defence-orientated large, distributed dynamic systems. The approach is based on a high-level Spatial Grasp Language, SGL, expressing solutions in physical, virtual, executive and combined environments in the form of active self-evolving and self-propagating patterns spatially matching the systems to be created, modified and controlled. The communicating interpreters of SGL can be installed in key system points, which may be in large numbers (up to millions and billions) and represent equipped humans, robots, laptops, smartphones, smart sensors, etc. Operating under gestalt-inspired scenarios in SGL initially injected from any points, these systems can be effectively converted into goal-driven spatial machines (rather than computers as dealing with physical matter too) capable of responding to numerous challenges caused by growing world dynamics in the 21st century. Including numerous practical examples, the book is a valuable resource for system managers and programmers.
650 0 _aComputational intelligence.
_97716
650 0 _aArtificial intelligence.
_93407
650 1 4 _aComputational Intelligence.
_97716
650 2 4 _aArtificial Intelligence.
_93407
710 2 _aSpringerLink (Online service)
_961908
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783319504599
776 0 8 _iPrinted edition:
_z9783319504605
776 0 8 _iPrinted edition:
_z9783319844053
830 0 _aStudies in Computational Intelligence,
_x1860-9503 ;
_v690
_961909
856 4 0 _uhttps://doi.org/10.1007/978-3-319-50461-2
912 _aZDB-2-ENG
912 _aZDB-2-SXE
942 _cEBK
999 _c80853
_d80853