Editing Agent Based Modeling (section)

== <span style="color: #FFFFFF;">Remembering</span> ==
* '''Agent-Based Modeling (ABM)''' — A simulation technique used to understand the behavior of a system by modeling its individual parts.
* '''Agent''' — An autonomous entity in a simulation that follows a set of rules (e.g., a Person, a Car, a Bird).
* '''Emergence''' — When a complex global behavior arises out of simple local rules (The "Magic" of ABM).
* '''Environment''' — The virtual space in which agents move and interact (e.g., a Grid, a Network, or a Map).
* '''Bounded Rationality''' — The idea that agents only have limited information and limited brainpower (unlike the "perfect" individuals in classical economics).
* '''Local Interaction''' — Agents only react to things immediately around them, not the whole system.
* '''Stochasticity''' — The use of "Randomness" in a model to represent the unpredictability of the real world.
* '''Monte Carlo Simulation''' — Running the same model thousands of times with different random seeds to see the average outcome.
* '''Validation''' — The process of ensuring that the model's output matches real-world data.
* '''Emergent Property''' — A macro-level pattern that was not explicitly programmed (e.g., a traffic jam).
* '''NetLogo''' — The most popular programming language and platform for building agent-based models.
* '''Sensitivity Analysis''' — Testing how much the final result changes when you slightly change one individual rule.
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