Humanity is facing many grand challenges at unprecedented rates, nearly everywhere, and
at all levels. Yet virtually all these challenges can be traced back to the decision and …

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 …

© 2020, University of Surrey. All rights reserved. The Overview, Design concepts and Details
(ODD) protocol for describing Individual-and Agent-Based Models (ABMs) is now widely …

Formal models are commonly used in natural resource management (NRM) to study human-
environment interactions and inform policy making. In the majority of applications, human …

The proliferation of agent-based models (ABMs) in recent decades has motivated model
practitioners to improve the transparency, replicability, and trust in results derived from …

This paper provides a systematic review of studies that model future autonomous vehicles
(AVs) in urban mobility and logistics using an agent-based model (ABM). Eighty relevant …

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

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 …

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

How one builds, checks, validates and interprets a model depends on its 'purpose'. This is
true even if the same model is used for different purposes, which means that a model built …