Recent reviews stated that the complex and context-dependent nature of human decision-
making resulted in ad-hoc representations of human decision in agent-based land use …

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

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

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 …

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 …

With the aim of building realistic model of social systems, designers of agent-based models
tend to incorporate more and more data and this data is of course having an impact on their …

Objectives Agent-based modeling (ABM) is a type of computer simulation that creates a
virtual society and allows controlled experimentation. ABM has the potential to be a powerful …

Modeling social-ecological interactions between humans and ecosystems to analyze their
implications for sustainable management of social-ecological systems (SES) has multiple …

Agent-based simulations have become increasingly prominent in various disciplines. This
trend is positive, but it comes with challenges: while there are more and more standards for …

This article provides an overview of the current state of agent-based modeling in managerial
science. In particular, the aim is to illustrate major lines of development in agent-based …