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Evolving sustainable institutions in agent-based simulations with learning

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Listed:
  • Zosh, Christopher
  • Pape, Andreas
  • Guilfoos, Todd
  • DiCola, Peter

Abstract

We develop a novel, game-theoretic computational model in which learning agents explore how much to consume from a common resource.

Suggested Citation

  • Zosh, Christopher & Pape, Andreas & Guilfoos, Todd & DiCola, Peter, 2026. "Evolving sustainable institutions in agent-based simulations with learning," Journal of Economic Behavior & Organization, Elsevier, vol. 243(C).
    • Handle: RePEc:eee:jeborg:v:243:y:2026:i:c:s0167268126000430
    DOI: 10.1016/j.jebo.2026.107455
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    Keywords

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    JEL classification:

    • D02 - Microeconomics - - General - - - Institutions: Design, Formation, Operations, and Impact
    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • P48 - Political Economy and Comparative Economic Systems - - Other Economic Systems - - - Legal Institutions; Property Rights; Natural Resources; Energy; Environment; Regional Studies
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • D04 - Microeconomics - - General - - - Microeconomic Policy: Formulation; Implementation; Evaluation
    • Q20 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - General

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