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Long-term dynamics ...
Long-term dynamics of institutions : Using ABM as a complementary tool to support theory development in historical studies
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- Ale Ebrahim Dehkordi, Molood (author)
- Delft University of Technology, Netherlands
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- Ghorbani, Amineh (author)
- Delft University of Technology, Netherlands
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- Bravo, Giangiacomo, 1969- (author)
- Linnaeus University,Linnéuniversitetet,Institutionen för samhällsstudier (SS),Vatten,DISA;CSS
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- Farjam, Mike, 1986- (author)
- Lund University,Lunds universitet,Europastudier,Avdelningen för slaviska, öst- och centraleuropakunskap och europastudier,Sektion 5,Språk- och litteraturcentrum,Institutioner,Humanistiska och teologiska fakulteterna,European Studies,Division of Slavic Studies, Central and Eastern European Studies and European Studies,Section 5,Centre for Languages and Literature,Departments,Joint Faculties of Humanities and Theology
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- van Weeren, René (author)
- Utrecht University, Netherlands
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- Forsman, Anders, 1962- (author)
- Linnaeus University,Linnéuniversitetet,Institutionen för biologi och miljö (BOM),Ctr Ecol & Evolut Microbial Model Syst EEMiS
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- De Moor, Tine (author)
- Erasmus University, Netherlands,Erasmus University Rotterdam
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(creator_code:org_t)
- 2021
- 2021
- English.
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In: JASSS. - : Journal of Artificial Societies and Social Simulation. - 1460-7425. ; 24:4
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Abstract
Subject headings
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- Historical data are valuable resources for providing insights into social patterns in the past. However, these data often inform us at the macro-level of analysis but not about the role of individuals’ behaviours in the emergence of long-term patterns. Therefore, it is difficult to infer ‘how’ and ‘why’ certain patterns emerged in the past. Historians use various methods to draw hypotheses about the underlying reasons for emerging patterns and trends, but since the patterns are the results of hundreds if not thousands of years of human behaviour, these hypotheses can never be tested in reality. Our proposition is that simulation models and specifically, agent-based models (ABMs) can be used as complementary tools in historical studies to support hypothesis building. The approach that we propose and test in this paper is to design and configure models in such a way as to generate historical patterns, consequently aiming to find individual-level explanations for the emerging pattern. In this work, we use an existing, empirically validated, agent-based model of common pool resource management to test hypotheses formulated based on a historical dataset. We first investigate whether the model can replicate various patterns observed in the dataset, and second, whether it can contribute to a better understanding of the underlying mechanism that led to the observed empirical trends. We showcase how ABM can be used as a complementary tool to support theory development in historical studies. Finally, we provide some guidelines for using ABM as a tool to test historical hypotheses.
Subject headings
- SAMHÄLLSVETENSKAP -- Annan samhällsvetenskap -- Tvärvetenskapliga studier inom samhällsvetenskap (hsv//swe)
- SOCIAL SCIENCES -- Other Social Sciences -- Social Sciences Interdisciplinary (hsv//eng)
- HUMANIORA -- Historia och arkeologi -- Historia (hsv//swe)
- HUMANITIES -- History and Archaeology -- History (hsv//eng)
Keyword
- Institutional Modelling
- Historical Data
- CPRs
- Institutional Evolution
- Social Sciences
- Samhällsvetenskap
- Institutional Modelling
- Historical Data
- CPRs
- Institutional Evolution
Publication and Content Type
- ref (subject category)
- art (subject category)
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