By Flaminio Squazzoni
Most of the interesting social phenomena of our time, resembling foreign terrorism, social inequality, and concrete ethnic segregation, are outcomes of advanced varieties of agent interplay which are tricky to watch methodically and experimentally. This ebook appears to be like at a brand new learn flow that uses complex desktop simulation modelling strategies to highlight agent interplay that permits us to provide an explanation for the emergence of social styles. It provides a style to pursue analytical sociology investigations that examine appropriate social mechanisms in numerous empirical occasions, corresponding to markets, city towns, and organisations.
- Provides a finished 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 versions in sociology.
- Explores agent-based versions in combining quantitative and qualitative elements, and micro- and macro degrees of analysis.
- Looks at tips on how to pose an agent-based learn query, settling on the version construction blocks, and the way to validate simulation results.
- Features examples of agent-based versions that examine an important sociology issues.
- Supported by way of an accompanying web site that includes facts units and code for the types integrated within the book.
Agent-Based Computational Sociology is written in a typical sociological language and lines examples of types that examine all of the conventional explanatory demanding situations of sociology. Researchers and graduate scholars thinking about the sector of agent-based modelling and machine simulation in parts reminiscent of social sciences, cognitive sciences and computing device sciences will reap the benefits of this book.
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Additional info for Agent-Based Computational Sociology
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. American Journal of Sociology, 91, 481–510. Granovetter, M. and Soong, R. (1983) Threshold models of diffusion and collective behavior.
However, they can also substitute it, leaving simpliﬁcation and math constraints to look at out-of-equilibrium and complex patterns. ’s examples). There is another important difference between these examples and scholars carrying out ABM research on cooperation and social norms. Some researchers are motivated by the attempt to ﬁnd minimal conditions that explain cooperation in social systems composed of self-regarding rational agents. This idea is twofold. On the one hand, given that we conceive cooperation as a ubiquitous empirical phenomenon, the understanding of minimal conditions for cooperation can help us both to identify common properties and to distinguish speciﬁcities of human and non-human populations.
Pdf. C. (2005) Understanding the Process of Economic Change, Princeton University Press, Princeton. Petri, Y. (2011) Micro, macro and mechanisms, in The Oxford Handbook of Philosophy of the Social Sciences (ed. H. Kincaid), Oxford University Press, New York. , and Ostrom, E. (eds) (2010) Working Together: Collective Action, the Commons, and Multiple Methods in Practice, Princeton University Press, Princeton. P1: TIX/XYZ JWST157-c01 P2: ABC JWST157-Squazzoni January 26, 2012 11:5 WHAT IS AGENT-BASED COMPUTATIONAL SOCIOLOGY ALL ABOUT?