By Flaminio Squazzoni
Most of the interesting social phenomena of our time, reminiscent of foreign terrorism, social inequality, and concrete ethnic segregation, are effects of advanced different types of agent interplay which are tough to monitor methodically and experimentally. This ebook seems to be at a brand new examine flow that uses complicated desktop simulation modelling concepts 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 correct social mechanisms in a variety of empirical events, similar to markets, city towns, and organisations.
- Provides a finished creation 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 types in sociology.
- Explores agent-based types in combining quantitative and qualitative features, and micro- and macro degrees of analysis.
- Looks at tips on how to pose an agent-based learn query, choosing 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 through an accompanying site that includes info units and code for the types incorporated within the book.
Agent-Based Computational Sociology is written in a standard sociological language and contours examples of types that examine all of the conventional explanatory demanding situations of sociology. Researchers and graduate scholars fascinated about the sector of agent-based modelling and computing device simulation in parts comparable to social sciences, cognitive sciences and laptop sciences will take advantage of this book.
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Extra info for Agent-Based Computational Sociology
Gambetta, D. (2009) Were They Pushed or Did They Jump?. Individual Decision Mechanisms in Education, Cambridge University Press, New York. L. 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.
As we will see, these two ideal-typical approaches coexist in agent-based computational sociology and this makes clear-cut technical distinctions between models a poor guide to understanding the evolution of this ﬁeld and its long-term potential. The ﬁrst approach lends itself more to generalization and is often associated with conventional theoretical frameworks, such as game theory. Therefore, ABM sociologists here come closer to conventional formalized science. The second is more suitable to build sophisticated and empirically grounded models, where the level of empirical details of agent heterogeneity of behavior is more important.
At present, this type of research has been poorly developed in social sciences (an exception is Gilbert et al. 2006). However, it is important as, by connecting previously unrelated specialized knowledge, it can give the big picture, which could help to give new perspectives for more precise studies. Furthermore, it can provide ‘what-if’ scenarios which might reveal non-obvious features of reality. Abstract models focus on social phenomena of a general range. They are neither ﬁne-grained representations of circumscribed empirical phenomena, nor models of speciﬁc classes of empirical phenomena.
Agent-Based Computational Sociology by Flaminio Squazzoni