Simulating Dynamics of Institutions

Doctoral thesis (2024)

Authors

Molood Ale Ebrahim Dehkordi Energy and Industry
Research Group
Energy and Industry
Copyright: © 2024 Molood Ale Ebrahim Dehkordi
DOI: https://doi.org/10.4233/uuid:276f2e9f-677b-4e46-8ab5-7de40c8e454c
Machine learning Agent-based modelling Cooperation Institutions Value change Values Institutional modelling Institutional evolution Wealth inequality Common-pool resources Modelling purpose
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Published Date

2024

Language

English

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Research Group

Energy and Industry

Abstract

In society, institutions are the foundation that governs human behaviour through rules, norms, and regulations. The actions and interactions of individuals are shaped by these institutions, forming a cyclic system with numerous parameters and factors. Altering any of these factors, triggers the entire system to transition into a new state that comprises new emergent institutions. This process can take anywhere from days to thousands of years.

Employing agent-based models and simulation techniques enables the study of the emergence and transformation of institutions in a shorter timeframe, with reasonable cost, and under diverse parameters and conditions.

The purpose of this dissertation is to enhance institutional theories by generating new insights, testing hypotheses, and offering support to researchers, historians, policymakers, and social scientists who are studying institutional dynamics. The outcomes of this research may assist in the identification of successful institutions and the comprehension of the factors that contribute to their success....