000			03623nam a22005055i 4500
001			978-3-642-39149-1
003			DE-He213
005			20200421111844.0
007			cr nn 008mamaa
008			131027s2014 gw | s |||| 0|eng d
020			_a9783642391491 _9978-3-642-39149-1
024	7		_a10.1007/978-3-642-39149-1 _2doi
050		4	_aQ342
072		7	_aUYQ _2bicssc
072		7	_aCOM004000 _2bisacsh
082	0	4	_a006.3 _223
245	1	0	_aTheories and Simulations of Complex Social Systems _h[electronic resource] / _cedited by Vahid Dabbaghian, Vijay Kumar Mago.
264		1	_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg : _bImprint: Springer, _c2014.
300			_aX, 204 p. 72 illus. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	1		_aIntelligent Systems Reference Library, _x1868-4394 ; _v52
505	0		_aIntroducing Theories and Simulations of Complex Social Systems -- Creating Software for the Simulation of Complex Social Systems -- Modelling Epistemic Systems- Model the human behavior in space and time by mobile phone data -- Change Detection in Dynamic Political Networks: The Case of Sudan -- High-Level Simulation Model of a Criminal Justice System -- Celerity in the Courts: An Application of Fuzzy Logic to Model Case Complexity in the Criminal Justice System -- Understanding the Impact of Face Mask Usage through Epidemic Simulation of Large Social Networks -- e - Epidemic Models on the Attack and Defense of Malicious Objects in Networks -- Modelling the joint effect of social determinants and peers on obesity -- Youth Gang Formation: Basic instinct or something else? -- Optimising an Agent-Based Model to Explore the Behaviour of Simulated Burglars.
520			_aResearch into social systems is challenging due to their complex nature. Traditional methods of analysis are often difficult to apply effectively as theories evolve over time. This can be due to a lack of appropriate data, or too much uncertainty. It can also be the result of problems which are not yet understood well enough in the general sense so that they can be classified, and an appropriate solution quickly identified. Simulation is one tool that deals well with these challenges, fits in well with the deductive process, and is useful for testing theory. This field is still relatively new, and much of the work is necessarily innovative, although it builds upon a rich and varied foundation. There are a number of existing modelling paradigms being applied to complex social systems research. Additionally, new methods and measures are being devised through the process of conducting research. We expect that readers will enjoy the collection of high quality research works from new and accomplished researchers.    .
650		0	_aEngineering.
650		0	_aArtificial intelligence.
650		0	_aStatistical physics.
650		0	_aComputational intelligence.
650	1	4	_aEngineering.
650	2	4	_aComputational Intelligence.
650	2	4	_aArtificial Intelligence (incl. Robotics).
650	2	4	_aNonlinear Dynamics.
700	1		_aDabbaghian, Vahid. _eeditor.
700	1		_aMago, Vijay Kumar. _eeditor.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9783642391484
830		0	_aIntelligent Systems Reference Library, _x1868-4394 ; _v52
856	4	0	_uhttp://dx.doi.org/10.1007/978-3-642-39149-1
912			_aZDB-2-ENG
942			_cEBK
999			_c55750 _d55750