Agent-based models (ABMs) are increasingly recognized as valuable tools in modelling
human-environmental systems, but challenges and critics remain. One pressing challenge …

Farm level scale policy analysis is receiving increased attention due to a changing
agricultural policy orientation. Agent based models (ABM) are farm level models that have …

Sensitivity analysis (SA) is en route to becoming an integral part of mathematical modeling.
The tremendous potential benefits of SA are, however, yet to be fully realized, both for …

Modeling is essential to characterize and explore complex societal and environmental
issues in systematic and collaborative ways. Socio-environmental systems (SES) modeling …

Efficiently calibrating agent-based models (ABMs) to real data is an open challenge. This
paper explicitly tackles parameter space exploration and calibration of ABMs by combining …

Since the survey by Windrum et al.(Journal of Artificial Societies and Social Simulation 10: 8,
2007), research on empirical validation of agent-based models in economics has made …

Agent-based simulation has become increasingly popular as a modeling approach in the
social sciences because it enables researchers to build models where individual entities …

Understanding social-ecological systems (SES) is crucial to supporting the sustainable
management of resources. Agent-based modelling is a valuable tool to achieve this …

Agri-food supply chains (ASC) are an important application domain for Operational
Research/Management Science. In particular, the use of agent-based simulation (ABS) has …

The use of agent-based modelling approaches in ex-post and ex-ante evaluations of
agricultural policies has been progressively increasing over the last few years. There are …