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 …

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 book has emerged through years of discussions, comments and questions we have
received about building agentbased models and integrating geographical information …

An agent-based model is a form of complex systems model that is capable of simulating how
the micro-level behavior of individual system entities contributes to macro-level system …

Human trafficking, the exploitation of humans for monetary gain or benefit, is a widespread
humanitarian issue that is typically sub‐classified into labor and sex trafficking. In the last …

Agent-based modeling is a powerful simulation technique that allows one to build artificial
worlds and populate these worlds with individual agents. Each agent or actor has unique …

Cities are complex systems, comprising of many interacting parts. How we simulate and
understand causality in urban systems is continually evolving. Over the last decade the …

Spatial crime simulations contribute to our understanding of the mechanisms that drive crime
and can support decision-makers in develo** effective crime reduction strategies. Agent …

Computational experiments have emerged as a valuable method for studying complex
systems, involving the algorithmization of counterfactuals. However, accurately representing …

We propose a scalable agent-based crime simulation model based on the routine activity
theory. It uses census data and time geography to create a synthetic population with …