Download Agent-Based Computational Sociology by Flaminio Squazzoni PDF

By Flaminio Squazzoni

Most of the fascinating social phenomena of our time, reminiscent of overseas terrorism, social inequality, and concrete ethnic segregation, are results of complicated different types of agent interplay which are tough to watch methodically and experimentally. This publication appears to be like at a brand new study circulation that uses complicated desktop simulation modelling innovations to highlight agent interplay that enables us to provide an explanation for the emergence of social styles. It offers a mode to pursue analytical sociology investigations that examine appropriate social mechanisms in numerous empirical occasions, resembling markets, city towns, and organisations. 

This book:

  • Provides a accomplished advent to epistemological, theoretical and methodological gains of agent-based modelling in sociology via quite a few discussions and examples.
  • Presents the professionals and cons of utilizing agent-based types in sociology.
  • Explores agent-based versions in combining quantitative and qualitative points, and micro- and macro degrees of analysis.
  • Looks at the best way to pose an agent-based examine query, settling on the version construction blocks, and the way to validate simulation results.
  • Features examples of agent-based types that examine the most important sociology issues.
  • Supported via an accompanying web site that includes info units and code for the versions incorporated within the book.

 

Agent-Based Computational Sociology is written in a typical sociological language and contours examples of versions that examine the entire conventional explanatory demanding situations of sociology. Researchers and graduate scholars all for the sphere of agent-based modelling and desktop simulation in parts corresponding to social sciences, cognitive sciences and desktop sciences will make the most of this book.

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Additional resources for Agent-Based Computational Sociology

Sample text

G. (1985) Some computer-based developments in sociology. Science, 228, 428–433. Huber, J. ) (1991) Macro-Micro Linkages in Sociology, Sage, London. Kim, J. (2006) Emergence: core ideas and issues. Synthese, 151, 547–559. O. (1994) Designing Social Inquiry: Scientific Inference in Qualitative Research, Princeton University Press, Princeton. A. A. G. Gumerman), Oxford University Press, New York, pp. 1–18. , et al. A. Kohler and S. van der Leeuw), SAR Press, Santa Fe, NM, pp. 61–104. , and West, G.

And Soong, R. (1988) Threshold models of collective behavior: Chinese restaurants, residential segregation, and the spiral of silence. Sociological Methodology, 18, 69–104. Gr¨une-Yanoff, T. and Weirich, P. (2010) The philosophy and epistemology of simulation: a review. Simulation & Gaming, 41(1), 20–50. Hanneman, P. and Patrick, S. (1997) On the uses of computer-assisted simulation modelling in the social sciences. socresonline. html. Hartmann, S. and Frigg, R. (2006) Models in science, in The Stanford Encyclopedia of Philosophy (ed.

Simulation & Gaming, 41(1), 20–50. Hanneman, P. and Patrick, S. (1997) On the uses of computer-assisted simulation modelling in the social sciences. socresonline. html. Hartmann, S. and Frigg, R. (2006) Models in science, in The Stanford Encyclopedia of Philosophy (ed. N. stanford. edu/entries/models-science/. Hayek von, F. (1976) The New Confusion about Planning. The Morgan. Guarantee Survey, January, pp. 4–13, reprinted in New Studies in Philosophy, Politics, Economics and the History of Ideas, 232, 236 [1978].

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