An Introduction to Agent-Based Modeling shows how agent-based modeling applies to domains from chemistry to sociology to engineering. Intended for teachers, students, and scientists of all stripes, ...

Traditional epidemic modeling techniques, including compartmental, network, and temporal models, have historically ...

Why go to the trouble to develop a distributed agent based model? The short answer is that there are many problems that are too big to be solved in a serial computing environment. Again using EpiSims ...

Also known as discrete models, agent-based models, or individual-based models, cell-based models simulate individual cell behaviors within tissue environments. These models have several advantages.

One of the main challenges in Agent-Based Modeling (ABM) is to model agents’ preferences and behavioral rules such that the knowledge and decision-making processes of real-life stakeholders will be ...