The design and implementation of effective environmental policies need to be informed by a
holistic understanding of the system processes (biophysical, social and economic), their …

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 …

Representing human decisions is of fundamental importance in agent-based models.
However, the rationale for choosing a particular human decision model is often not …

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

Increasing attention to regime shifts, critical transitions, non-marginal changes, and systemic
shocks calls for the development of models that are able to reproduce or grow structural …

There has so far been no shared understanding of validity in agent-based simulation. We
here conceptualise validation as systematically substantiating the premises on which …

Context Landscape ecology as an interdisciplinary science has great potential to inform
landscape planning, an integrated, collaborative practice on a regional scale. It is commonly …

This article is a review of work published in various journals and conference proceedings on
the topics of Simulation Modelling for Sustainability between January 2000 and May 2015. A …

Both modelers and social scientists attempt to find better explanations of complex urban
systems. They include development paths, underlying driving forces and their expected …

A forward-looking urban land use plan is crucial to a city's sustainability, which requires a
deep understanding of human-environment interactions between different domains, and …