Agent-based computational models
Agent-based computational modeling (ABCM) plays a central role in Analytical Sociology (AS). ABCM attracts analytical sociologists because it combines analytic precision, ability to capture complex micro-macro interactions and flexibility to accommodate empirically realistic assumptions. This chapte...
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| Главные авторы: | , |
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| Формат: | Online |
| Язык: | английский |
| Опубликовано: |
Edward Elgar Publishing
2023
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| Предметы: | |
| Online-ссылка: | https://directory.doabooks.org/handle/20.500.12854/98658 |
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| _version_ | 1869518621949034496 |
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| author | Flache, Andreas de Matos Fernandes, Carlos A. |
| author_browse | Flache, Andreas de Matos Fernandes, Carlos A. |
| author_facet | Flache, Andreas de Matos Fernandes, Carlos A. |
| author_sort | Flache, Andreas |
| collection | Directory of Open Access Books |
| description | Agent-based computational modeling (ABCM) plays a central role in Analytical Sociology (AS). ABCM attracts analytical sociologists because it combines analytic precision, ability to capture complex micro-macro interactions and flexibility to accommodate empirically realistic assumptions. This chapter gives readers an easily accessible introduction to ABCM in the context of AS. We provide and elaborate a modelling example the reader can download and replicate. Schelling’s well-known model of segregation is progressively extended towards including empirically more realistic assumptions. The example is used to illustrate the use of 10 good practices we propose in this chapter for ABCM in the context of AS. We demonstrate how it can be challenging to understand what the consequences are of adding realism to an abstract model, and how ABCM – if properly used - is a powerful instrument for developing full comprehension of the complex dynamics generated by the computational implementation of a social mechanism. |
| format | Online |
| id | doab-20.500.12854ir-98658 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2023 |
| publishDateRange | 2023 |
| publishDateSort | 2023 |
| publisher | Edward Elgar Publishing |
| publisherStr | Edward Elgar Publishing |
| record_format | ojs |
| spelling | doab-20.500.12854ir-986582023-03-22T16:26:06Z Agent-based computational models Flache, Andreas de Matos Fernandes, Carlos A. Analytical sociology social mechanisms agent-based modelling models of social networks and mechanisms explanatory sociology micro-macro models computational social sciences network mechanisms JHBA JHB JHBC Agent-based computational modeling (ABCM) plays a central role in Analytical Sociology (AS). ABCM attracts analytical sociologists because it combines analytic precision, ability to capture complex micro-macro interactions and flexibility to accommodate empirically realistic assumptions. This chapter gives readers an easily accessible introduction to ABCM in the context of AS. We provide and elaborate a modelling example the reader can download and replicate. Schelling’s well-known model of segregation is progressively extended towards including empirically more realistic assumptions. The example is used to illustrate the use of 10 good practices we propose in this chapter for ABCM in the context of AS. We demonstrate how it can be challenging to understand what the consequences are of adding realism to an abstract model, and how ABCM – if properly used - is a powerful instrument for developing full comprehension of the complex dynamics generated by the computational implementation of a social mechanism. Published 2023-03-22T16:26:04Z 2023-03-22T16:26:04Z 2021-12-17 chapter 9781789906844 https://directory.doabooks.org/handle/20.500.12854/98658 eng Research Handbooks in Sociology series image/jpeg Attribution-NonCommercial-NoDerivatives 4.0 International https://www.e-elgar.com/shop/gbp/research-handbook-on-analytical-sociology-9781789906844.html https://www.elgaronline.com/display/edcoll/9781789906844/9781789906844.00033.xml Edward Elgar Publishing Edward Elgar Publishing https://doi.org/10.4337/9781789906851.00033 https://doi.org/10.4337/9781789906851.00033 01ceac28-75b4-492a-8eec-f9b98bc6b28c 9781789906844 Edward Elgar Publishing 20 Cheltenham open access |
| spellingShingle | Analytical sociology social mechanisms agent-based modelling models of social networks and mechanisms explanatory sociology micro-macro models computational social sciences network mechanisms JHBA JHB JHBC Flache, Andreas de Matos Fernandes, Carlos A. Agent-based computational models |
| title | Agent-based computational models |
| title_full | Agent-based computational models |
| title_fullStr | Agent-based computational models |
| title_full_unstemmed | Agent-based computational models |
| title_short | Agent-based computational models |
| title_sort | agent based computational models |
| topic | Analytical sociology social mechanisms agent-based modelling models of social networks and mechanisms explanatory sociology micro-macro models computational social sciences network mechanisms JHBA JHB JHBC |
| topic_facet | Analytical sociology social mechanisms agent-based modelling models of social networks and mechanisms explanatory sociology micro-macro models computational social sciences network mechanisms JHBA JHB JHBC |
| url | https://directory.doabooks.org/handle/20.500.12854/98658 |
| work_keys_str_mv | AT flacheandreas agentbasedcomputationalmodels AT dematosfernandescarlosa agentbasedcomputationalmodels |