RegMAS (Regional Multi Agent Simulator) is an open-source spatially explicit multi-agent model framework specifically designed for long-term simulations of the effects of policies on agricultural systems. Using iterated conventional optimisation problems as agents’ behavioural rules, it allows...

AgriPoliS is a multi-agent mixed integer linear programming (MIP) model, spatially explicit, developed in C++ language and suitable for long-term sim- ulations of agricultural policies. Beyond the mixed integer programming core, the model main feature is the interaction among a set of...

AgriPoliS is a multi-agent mixed integer linear programming (MIP) model, spatially explicit, developed in C++ language and suitable for long-term simulations of agricultural policies. Once extended to deal with typical characters of the Mediterranean agriculture, AgriPoliS is used in this paper...

For any given territory, disaster risk is a function of hazard, exposure and vulnerability. The conceptual frameworks for these dimensions are largely debated in the scientific studies, focusing on spatial and temporal references and on system perspective of risk assessment. Despite broad in...

This paper aims at making the world price endogenous within the AGMEMOD modelling approach. Thisapproach constructs country-level commodity market models where supply and demand sides are equalizedon the basis of the observed domestic prices. These prices are endogenous as they depend...

The AGMEMOD Partnership seeks to capture the inherent existingheterogeneity of agricultural systems by linking together individualEU Member State models, an aggregated EU model and severalaccession countries into one single model, while still maintaininganalytical consistency. Although this...