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The book introduces a pioneering methodology for constructing agent-based models of international migration, emphasizing the complexity and uncertainty of population movements. It details the development of simulation models featuring intelligent agents that interact within networks and institutions. By merging behavioral and social theories with formal modeling through a Bayesian framework, it addresses knowledge gaps in cognitive decision-making under uncertainty. This iterative, bottom-up approach enhances understanding in migration studies and contributes broadly to social sciences.
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Towards Bayesian Model-Based Demography, Jakub Bijak
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- 2021
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