000			03735nam a22005055i 4500
001			978-3-642-36614-7
003			DE-He213
005			20140220082905.0
007			cr nn 008mamaa
008			130528s2013 gw | s |||| 0|eng d
020			_a9783642366147 _9978-3-642-36614-7
024	7		_a10.1007/978-3-642-36614-7 _2doi
050		4	_aQA76.9.M35
072		7	_aGPFC _2bicssc
072		7	_aTEC000000 _2bisacsh
082	0	4	_a620 _223
100	1		_aMitleton-Kelly, Evangelia. _eeditor.
245	1	0	_aCo-evolution of Intelligent Socio-technical Systems _h[electronic resource] : _bModelling and Applications in Large Scale Emergency and Transport Domains / _cedited by Evangelia Mitleton-Kelly.
264		1	_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg : _bImprint: Springer, _c2013.
300			_aVI, 293 p. 88 illus., 77 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		_aUnderstanding Complex Systems, _x1860-0832
505	0		_aPart I : Introduction and literature reviews -- The Socionical FP7 Project and an outline of the volume -- Enhancing Crowd Evacuation & Traffic Management, through AmI technologies - A Review of the Literature --  A The Concept of ‘Co-evolution’ and its Application in the Social Sciences – A Review of the literature -- Part II: EMERGENCY -- Using mobile technology and a participatory sensing approach for crowd monitoring during large-scale mass gatherings -- Agent-based Modelling of Social Emotional Decision Making in Emergency Situations,- Designing Complex Socio-technical Systems: Empirically Grounded Simulations as Tools for Experience-based Design Space Explorations -- Part III:  TRANSPORT -- Enhancing Future Mass ICT with Social Capabilities -- Emerging Phenomena During Driving Interactions -- Effective Assessment of AmI Intervention in Traffic Through Quantitative Measures -- Part IV: CITY SCALE -- City Scale Evacuation Simulation: A High-Performance Multi-Agent Simulation Framework.
520			_aAs the interconnectivity between humans through technical devices is becoming ubiquitous, the next step is already in the making: ambient intelligence, i.e. smart (technical) environments, which will eventually play the same active role in communication as the human players, leading to a co-evolution in all domains where real-time communication is essential. This topical volume, based on the findings of the Socionical European research project, gives equal attention to two highly relevant domains of applications: transport, specifically traffic, dynamics from the viewpoint of a socio-technical interaction and evacuation scenarios for large-scale emergency situations. Care was taken to investigate as much as possible the limits of scalability and to combine the modeling using complex systems science approaches with relevant data analysis.
650		0	_aEngineering.
650		0	_aSocial sciences _xData processing.
650		0	_aPhysics.
650		0	_aSocial sciences _xMethodology.
650	1	4	_aEngineering.
650	2	4	_aComplexity.
650	2	4	_aComputer Appl. in Social and Behavioral Sciences.
650	2	4	_aMethodology of the Social Sciences.
650	2	4	_aSocio- and Econophysics, Population and Evolutionary Models.
650	2	4	_aAutomotive Engineering.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9783642366130
830		0	_aUnderstanding Complex Systems, _x1860-0832
856	4	0	_uhttp://dx.doi.org/10.1007/978-3-642-36614-7
912			_aZDB-2-PHA
999			_c97914 _d97914