By Flaminio Squazzoni
Most of the exciting social phenomena of our time, reminiscent of overseas terrorism, social inequality, and concrete ethnic segregation, are results of advanced types of agent interplay which are tricky to watch methodically and experimentally. This e-book appears to be like at a brand new study circulate that uses complex machine simulation modelling recommendations to focus on agent interplay that permits us to give an explanation for the emergence of social styles. It offers a mode to pursue analytical sociology investigations that examine suitable social mechanisms in a variety of empirical occasions, equivalent to markets, city towns, and organisations.
- Provides a accomplished creation 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 features, and micro- and macro degrees of analysis.
- Looks at tips to pose an agent-based study query, opting for the version construction blocks, and the way to validate simulation results.
- Features examples of agent-based versions that examine the most important sociology issues.
- Supported by way of an accompanying site that includes facts units and code for the versions integrated within the book.
Agent-Based Computational Sociology is written in a typical sociological language and lines examples of versions that examine the entire conventional explanatory demanding situations of sociology. Researchers and graduate scholars concerned with the sector of agent-based modelling and computing device simulation in components equivalent to 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
A good example of this is the type of research done in socioecological systems and common resource management. , Poteete, Janssen and Ostrom 2010). This process of reconﬁguration is still in its infancy and disciplines will naturally tend to follow their own path. However, it could have important consequences for sociology. First, given that it focuses on broad-range issues, involving different entities, processes and levels, trans-disciplinarity increases the possibility of achieving theoretical generalization and formulating taxonomies.
6 Thanks to their heuristic and pragmatic value, these models should not fully correspond to empirical reality, which is the target of their explanation (Willer and Webster 1970), as they are not designed to represent all possible empirical instances of the class itself. Therefore, qualities which are important for case-based models, such as accuracy, precision, and veridicality, are less important in this case. According to Weberian ‘ideal type’, these models synthesize ‘a great many diffuse, discrete, more or less present and occasionally absent concrete individual phenomena, which are arranged according to those one-sidedly emphasized viewpoints into a uniﬁed analytical construct’ (Weber 1904).
And Bennett, A. (2004) Case-Studies and Theory Development in the Social Sciences, The MIT Press, Cambridge, MA. G. (1999) Science Without Laws, University of Chicago Press, Chicago. Gilbert, N. (1996) Holism, individualism and emergent properties. An approach from the perspective of simulation, in Modelling and Simulation in the Social Sciences from the Philosophy Point of View (eds R. Hegselmann, U. G. Troitzsch), Kluwer Academic Publishers, Dordrecht, pp. 1–27. Gilbert, N. (2008) Agent-Based Models, Sage Publications, London.
Agent-Based Computational Sociology by Flaminio Squazzoni