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001 978-3-540-93813-2
003 DE-He213
005 20140220082843.0
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008 130405s2013 gw | s |||| 0|eng d
020 _a9783540938132
_9978-3-540-93813-2
024 7 _a10.1007/978-3-540-93813-2
_2doi
050 4 _aQA76.76.A65
072 7 _aJ
_2bicssc
072 7 _aUB
_2bicssc
072 7 _aCOM018000
_2bisacsh
072 7 _aSOC000000
_2bisacsh
082 0 4 _a004
_223
100 1 _aEdmonds, Bruce.
_eeditor.
245 1 0 _aSimulating Social Complexity
_h[electronic resource] :
_bA Handbook /
_cedited by Bruce Edmonds, Ruth Meyer.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2013.
300 _aVII, 754 p. 101 illus.
_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 _aIntroduction -- Methodology -- Mechanisms -- Applictions.
520 _aSocial systems are among the most complex known. This poses particular problems for those who wish to understand them. The complexity often makes analytic approaches infeasible and natural language approaches inadequate for relating intricate cause and effect. However, individual- and agent-based computational approaches hold out the possibility of new and deeper understanding of such systems.  Simulating Social Complexity examines all aspects of using agent- or individual-based simulation. This approach represents systems as individual elements having each their own set of differing states and internal processes. The interactions between elements in the simulation represent interactions in the target systems. What makes these elements "social" is that they are usefully interpretable as interacting elements of an observed society. In this, the focus is on human society, but can be extended to include social animals or artificial agents where such work enhances our understanding of human society.  The phenomena of interest then result (emerge) from the dynamics of the interaction of social actors in an essential way and are usually not easily simplifiable by, for example, considering only representative actors.  The introduction of accessible agent-based modelling allows the representation of social complexity in a more natural and direct manner than previous techniques. In particular, it is no longer necessary to distort a model with the introduction of overly strong assumptions simply in order to obtain analytic tractability. This makes agent-based modelling relatively accessible to a range of scientists. The outcomes of such models can be displayed and animated in ways that also make them more interpretable by experts and stakeholders.  This handbook is intended to help in the process of maturation of this new field. It brings together, through the collaborative effort of many leading researchers, summaries of the best thinking and practice in this area and constitutes a reference point for standards against which future methodological advances are judged.  This book will help those entering into the field to avoid "reinventing the wheel" each time, but it will also help those already in the field by providing accessible overviews of current thought. The material is divided into four sections: Introductory, Methodology, Mechanisms, and Applications. Each chapter starts with a very brief section called ‘Why read this chapter?’ followed by an abstract, which summarizes the content of the chapter. Each chapter also ends with a section of ‘Further Reading’ briefly describing three to eight items that a newcomer might read next.  
650 0 _aComputer science.
650 0 _aElectronic data processing.
650 0 _aSocial sciences
_xData processing.
650 0 _aAnimal behavior.
650 0 _aMathematics.
650 0 _aSocial sciences.
650 1 4 _aComputer Science.
650 2 4 _aComputer Appl. in Social and Behavioral Sciences.
650 2 4 _aSocial Sciences, general.
650 2 4 _aStatistical Physics, Dynamical Systems and Complexity.
650 2 4 _aBehavioural Sciences.
650 2 4 _aGame Theory, Economics, Social and Behav. Sciences.
650 2 4 _aComputing Methodologies.
700 1 _aMeyer, Ruth.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783540938125
830 0 _aUnderstanding Complex Systems,
_x1860-0832
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-540-93813-2
912 _aZDB-2-PHA
999 _c96715
_d96715