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NetLogo is an agent-based modeling environment for building and exploring simulations of complex systems. It provides a programmable platform with a rich library of models, interactive visualization and experiment controls, suited for teaching, research and rapid prototyping of emergent behavior.
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Technical building block: can be automated, integrated, or operated.
Concrete cog in the system that works inside larger relationships.
NetLogo is a modeling environment for agent-based simulations in which many simple actors follow rules and produce collective patterns.
Uri Wilensky developed NetLogo from 1999 at Northwestern University as an evolution of Logo for exploring complex systems through interacting agents.
Imagine a board populated by small actors: each knows only a few rules, yet their interaction can create traffic jams, swarms, or market movements.
An agent is an autonomous object with state and behavioral rules.
Emergence is a system pattern arising from many local interactions.
An experiment varies model parameters and compares resulting runs.
NetLogo makes local rules, experiments, and emergent behavior visible and teachable through interactive simulations.
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