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dc.rights.licenseCC-BY-NC-ND
dc.contributor.advisorDignum, F.P.M.
dc.contributor.authorRademaker, C.
dc.date.accessioned2018-04-18T17:00:53Z
dc.date.available2018-04-18T17:00:53Z
dc.date.issued2018
dc.identifier.urihttps://studenttheses.uu.nl/handle/20.500.12932/28953
dc.description.abstractThis work offers a synthesis between the disciplines of agent-based modeling, system-dynamics and economics. A thorough analysis and critique of the prior efforts to synthesize economics and system-dynamics by the Post-Keynesian economist Steve Keen is presented. A C# .NET library based framework for the visualization, diagnostics and analysis of system-dynamic models is provided. The work further details a modeling method based on the separation between aggregates and individuals and between strategic, logical and ethical system-dynamic variables and demonstrates this method by presenting an evolutionarily-trained multi-agent model on its basis. This model is used to explore a hypothesis in the context of an alternative interpretation of Keen's Debt-Deflation Model.
dc.description.sponsorshipUtrecht University
dc.format.extent12267776
dc.format.extent15903099
dc.format.extent6475900
dc.format.mimetypeapplication/zip
dc.format.mimetypeapplication/pdf
dc.format.mimetypeapplication/zip
dc.language.isoen
dc.titleAgent-Based System-Dynamic Economic Modeling: a Pioneering Approach
dc.type.contentMaster Thesis
dc.rights.accessrightsOpen Access
dc.subject.keywordsagent-based modeling, system-dynamics, economics, evolutionary algorithm, debt-deflation, Hyman Minsky's Financial Instability Hypothesis
dc.subject.courseuuArtificial Intelligence


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