Simulating Institutional Change for Governing Natural Common-Pool Resources: An Agent-Based Model Approach
收藏NIAID Data Ecosystem2026-05-01 收录
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https://data.mendeley.com/datasets/7vsjdgttxf
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资源简介:
This model runs in NetLogo version 6.0.2. The simulation consisted of 10,000 runs, with random changes in the sliders of k, r, num-agents, mutation, monitoring, punishment, institutional-emergence-time, threshold-institutional-change, cost to obtain the data for two dependent variables: the average level of resource stock (avg-resource) and the average payoff of users (avg-payoff), which were recorded for both versions of the open-access model and the self-governing institution model. The outputs of 10,000 simulation is estimated by Eviews.
创建时间:
2023-09-26



