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001			EBC4977949
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005			20191009123143.0
006			m o d |
007			cr cnu||||||||
008			191009s1997 xx o ||||0 eng d
020			_a9780472022526 _q(electronic bk.)
020			_z9780472084722
035			_a(MiAaPQ)EBC4977949
035			_a(Au-PeEL)EBL4977949
035			_a(CaONFJC)MIL243767
035			_a(OCoLC)1024266591
040			_aMiAaPQ _beng _erda _epn _cMiAaPQ _dMiAaPQ
082	0		_a300.1
100	1		_aKiel, L. Douglas.
245	1	0	_aChaos Theory in the Social Sciences.
264		1	_aAnn Arbor : _bUniversity of Michigan Press, _c1997.
264		4	_c�1997.
300			_a1 online resource (358 pages)
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
505	0		_aCover -- Contents -- Introduction -- Part 1: Chaotic Dynamics in Social Science Data -- 1. Exploring Nonlinear Dynamics with a Spreadsheet: A Graphical View of Chaos for Beginners -- 2. Probing the Underlying Structure in Dynamical Systems: An Introduction to Spectral Analysis -- 3. Measuring Chaos Using the Lyapunov Exponent -- 4. The Prediction Test for Nonlinear Determinism -- 5. From Individuals to Groups: The Aggregation of Votes and Chaotic Dynamics -- Part 2: Chaos Theory and Political Science -- 6. Nonlinear Politics -- 7. The Prediction of Unpredictability: Applications of the New Paradigm of Chaos in Dynamical Systems to the Old Problem of the Stability of a System of Hostile Nations -- 8. Complexity in the Evolution of Public Opinion -- Part 3: Chaos Theory and Economics -- 9. Chaos Theory and Rationality in Economics -- 10. Long Waves 1790-1990: Intermittency, Chaos, and Control -- 11. Cities as Spatial Chaotic Attractors -- Part 4: Implications for Social Systems Management and Social Science -- 12. Field-Theoretic Framework for the Interpretation of the Evolution, Instability, Structural Change, and Management of Complex Systems -- 13. Social Science as the Study of Complex Systems -- References -- Contributors.
520			_aChaos Theory in the Social Sciences: Foundations and Applications offers the most recent thinking in applying the chaos paradigm to the social sciences. The book explores the methodological techniques--and their difficulties--for determining whether chaotic processes may in fact exist in a particular instance and examines implications of chaos theory when applied specifically to political science, economics, and sociology. The contributors to the book show that no single technique can be used to diagnose and describe all chaotic processes and identify the strengths and limitations of a variety of approaches. The essays in this volume consider the application of chaos theory to such diverse phenomena as public opinion, the behavior of states in the international arena, the development of rational economic expectations, and long waves. Contributors include Brian J. L. Berry, Thad Brown, Kenyon B. DeGreene, Dimitrios Dendrinos, Euel Elliott, David Harvey, L. Ted Jaditz, Douglas Kiel, Heja Kim, Michael McBurnett, Michael Reed, Diana Richards, J. Barkley Rosser, Jr., and Alvin M. Saperstein. L. Douglas Kiel and Euel W. Elliott are both Associate Professors of Government, Politics, and Political Economy, University of Texas at Dallas.
588			_aDescription based on publisher supplied metadata and other sources.
590			_aElectronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2019. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.
655		4	_aElectronic books.
700	1		_aElliott, Euel W.
700	1		_aElliott, Euel W.
776	0	8	_iPrint version: _aKiel, L. Douglas _tChaos Theory in the Social Sciences _dAnn Arbor : University of Michigan Press,c1997 _z9780472084722
797	2		_aProQuest (Firm)
856	4	0	_uhttp://ezproxy01.ny.edu.hk:2048/login?url=https://ebookcentral.proquest.com/lib/ircp3g4/detail.action?docID=4977949 _zClick to View
999			_c36497 _d36497