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Understanding Agent-Based Modeling: Applications and Impact on Biological Systems

Agent-based modeling (ABM) is a computational method that simulates interactions of autonomous agents to study complex systems over time. This approach is particularly useful in biology, where it can apply to phenomena such as epidemics, animal behavior, and population dynamics. For instance, models like "Flocking Birds" and "Ant Lines" illustrate how independent variables can influence collective behavior. Explore these models and their implications for understanding absorption processes and ecological interactions.

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Understanding Agent-Based Modeling: Applications and Impact on Biological Systems

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  1. Agent-Based Modeling Grace, Kaitlyn, Morgan

  2. What is it? • Model of a situation where various “autonomous agents” are affecting a system • How do independent variables change the behavior or make-up of a system over time?

  3. Biology Application • Epidemics • Absorption (through membranes) • Animal behavior • Bacteria • Population dynamics

  4. NetLogo • Flocking birds http://ccl.northwestern.edu/netlogo/models/run.cgi?Flocking.783.569 • Ant Lines http://ccl.northwestern.edu/netlogo/models/run.cgi?AntLines.688.476 • Virus http://ccl.northwestern.edu/netlogo/models/run.cgi?AntLines.688.476 • Raindrops http://ccl.northwestern.edu/netlogo/models/run.cgi?Raindrops.662.385

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