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 …

Augmented Reality (AR) is a technology that has been used extensively in the field of
cartography, with one particular application being that of navigation. However even now, AR …

Managing non-communicable diseases requires policy makers to adopt a whole systems
perspective that adequately represents the complex causal architecture of human …

Epidemics and emerging infectious diseases are becoming an increasing threat to global
populations—challenging public health practitioners, decision makers and researchers to …

Computational models have been described as exceptionally adept at examining the
complex relationships of human and crowd behaviour, with a significant portion dedicated to …

This paper presents an empirical study comparing different uncertainty analysis (UA) and
sensitivity analysis (SA) methods, focussing their usefulness for the output analysis of land …

This study presents an agent-based simulation model exploring the patterns of presence
and absence of Late Pleistocene Neanderthals in western Europe. HomininSpace …

While the use of spatial agent-based and individual-based models has flourished across
many scientific disciplines, the complexities these models generate are often difficult to …

The design of agent-based models (ABMs) is often ad-hoc when it comes to defining their
scope. In order for the inclusion of features such as network structure, location, or dynamic …

Advances in formal theories, network science, and data collection technologies make
complex-agent networks and adaptive networks increasingly powerful tools in the fields' of …