000			03750nam a22004935i 4500
001			978-3-642-39295-5
003			DE-He213
005			20200421112232.0
007			cr nn 008mamaa
008			130711s2013 gw | s |||| 0|eng d
020			_a9783642392955 _9978-3-642-39295-5
024	7		_a10.1007/978-3-642-39295-5 _2doi
050		4	_aQ342
072		7	_aUYQ _2bicssc
072		7	_aCOM004000 _2bisacsh
082	0	4	_a006.3 _223
245	1	0	_aManaging Complexity: Practical Considerations in the Development and Application of ABMs to Contemporary Policy Challenges _h[electronic resource] / _cedited by Mirsad Hadzikadic, Sean O'Brien, Moutaz Khouja.
264		1	_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg : _bImprint: Springer, _c2013.
300			_aVIII, 173 p. _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, _x1860-949X ; _v504
505	0		_aAddressing Complex Challenges in an Interconnected World -- Complexity: Where Does It Come from? -- An Overview of Agent Based Models -- Running the System: Prediction and Intervention -- The ACSES Model of Afghanistan: Introduction and Social Theories -- The ACSES Model of Afghanistan: The Model Operation, Synthetic Population, Calibration, and Surprises -- Implementation Influences -- Towards a Characterization and Systematic Evaluation Framework for Theories and Models of Human, Social, Behavioral, and Cultural Processes Within Agent-Based Models -- Lessons Learned from the ACSES Model -- Advancing Social Science through Agent-Based Modeling -- Additional Problems.
520			_aThis book emerged out of a project initiated and funded by the Defense Advanced Research Projects Agency (DARPA) that sought to build on efforts to transform agent-based models into platforms for predicting and evaluating policy responses to real world challenges around the world.  It began with the observation that social science theories of human behavior are often used to estimate the consequences of alternative policy responses to important issues and challenges.  However, alternative theories that remain subject to contradictory claims are ill suited to inform policy. The vision behind the DARPA project was to mine the social sciences literature for alternative theories of human behavior, and then formalize, instantiate, and integrate them within the context of an agent-based modeling system.  The research team developed an experimental platform to evaluate the conditions under which alternative theories and groups of theories applied.  The end result was a proof of concept-developed from the ground up-of social knowledge that could be used as an informative guide for policy analysis. This book describes in detail the process of designing and implementing a pilot system that helped DARPA assess the feasibility of a computational social science project on a large scale. .
650		0	_aEngineering.
650		0	_aArtificial intelligence.
650		0	_aComputational intelligence.
650	1	4	_aEngineering.
650	2	4	_aComputational Intelligence.
650	2	4	_aArtificial Intelligence (incl. Robotics).
700	1		_aHadzikadic, Mirsad. _eeditor.
700	1		_aO'Brien, Sean. _eeditor.
700	1		_aKhouja, Moutaz. _eeditor.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9783642392948
830		0	_aStudies in Computational Intelligence, _x1860-949X ; _v504
856	4	0	_uhttp://dx.doi.org/10.1007/978-3-642-39295-5
912			_aZDB-2-ENG
942			_cEBK
999			_c58022 _d58022