Marco A. Janssen ¹, Elinor Ostrom ², Empirically Based, Agent-based models, Ecology and Society, Vol. 11, No. 2 (Dec 2006) ...

Michael R. Guzy ¹, Courtland L. Smith ², John P. Bolte ¹, David W. Hulse ³, Stanley V. Gregory ⁴, Policy Research Using Agent-Based Modeling to Assess Future Impacts of Urban Expansion into Farmlands ...

Agent-based modeling is a longstanding but underused method that allows researchers to simulate artificial worlds for hypothesis testing and theory building. Agent-based models (ABMs) offer ...

One of the main challenges in Agent-Based Modeling (ABM) is to model agents’ preferences and behavioral rules such that the knowledge and decision-making processes of real-life stakeholders will be ...

The authors propose agent-based modeling for the study of decentralized finance and decentralized autonomous organizations.

Not to be overshadowed by the many AI announcements from AWS re:Invent this week, Pydantic, the team behind the leading open-source Python programming language data validation library, launched ...

Agent-Based Modeling Helps in Studying Emergent Phenomena The modeling method can aid in the analysis of complex dynamic systems such as positive charge movement of atoms through an electrical circuit ...

IIM-Kozhikode hosts ABM India workshop with hands-on learning experience in agent-based modeling for industry and academia.