Agent-Based Modeling

ABSESpy is an innovative agent-based modeling framework designed to improve the fidelity of socio-ecological systems research by integrating complex decision-making, scaling, and data integration through its Branch-Leaf architecture. Its capabilities in modeling human behavior and accommodating diverse temporal scales make it a vital tool for addressing existing gaps in SES research and enhancing the applicability of ABMs to real-world issues.

An agent-based model was developed around the Yellow River’s most far-reaching water quota institution during the past half century, considering how factors such as human behaviour and environmental change have combined with the institutional shifts to lead to changes in the Yellow River’s water use.