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 underpinned public health strategies. These models simplify population dynamics into ...

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 ...

Adaptive AI Forecasts Report 2024-2029: Market to Grow at a CAGR of 44.71%, Driven by Reinforcement Learning and Agent-Based Modeling - ResearchAndMarkets.com January 22, 2025 08:55 AM Eastern ...