Download Agent-Based Computational Sociology by Flaminio Squazzoni PDF

By Flaminio Squazzoni

Most of the fascinating social phenomena of our time, similar to overseas terrorism, social inequality, and concrete ethnic segregation, are outcomes of advanced varieties of agent interplay which are tricky to watch methodically and experimentally. This publication seems at a brand new study flow that uses complex desktop simulation modelling thoughts to highlight agent interplay that permits us to give an explanation for the emergence of social styles. It offers a style to pursue analytical sociology investigations that examine correct social mechanisms in numerous empirical events, equivalent to markets, city towns, and organisations. 

This book:

  • Provides a complete advent to epistemological, theoretical and methodological good points of agent-based modelling in sociology via quite a few discussions and examples.
  • Presents the professionals and cons of utilizing agent-based versions in sociology.
  • Explores agent-based versions in combining quantitative and qualitative points, and micro- and macro degrees of analysis.
  • Looks at find out how to pose an agent-based study query, selecting the version development blocks, and the way to validate simulation results.
  • Features examples of agent-based versions that examine an important sociology issues.
  • Supported by means of an accompanying web site that includes info units and code for the versions integrated within the book.

 

Agent-Based Computational Sociology is written in a standard sociological language and contours examples of types that examine the entire conventional explanatory demanding situations of sociology. Researchers and graduate scholars inquisitive about the sphere of agent-based modelling and laptop simulation in parts reminiscent of social sciences, cognitive sciences and machine sciences will reap the benefits of this book.

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Extra info for Agent-Based Computational Sociology

Sample text

R. 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.

Unfortunately, it is hard to transform their findings into something empirically testable. Abstract models are of paramount importance for the progress of science, but abstract research can easily lose sight of empirically relevant aspects. Middle-range models can do a great deal to connect evidence and theory and to focus on well-specified social mechanisms. However, both their empirical validation in single important cases and their theoretical generalization are extremely challenging to achieve.

G. (2005) Simulation for the Social Scientist, 2nd edn, Open University Press, Maidenhead. , et al. (2006) Emerging artificial societies through learning. html. Gladwell, M. (2001) Tipping Point. How Little Things Can Make a Big Difference, Abacus, London. H. (2007) On Sociology. Volume One: Critique and Program, Stanford University Press, Stanford. Granovetter, M. (1978) Threshold models of collective behavior. American Journal of Sociology, 83(6), 1420–1443. Granovetter, M. (1985) Economic action and social structure: the problem of embeddedness.

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