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Studying the geographic and topological distribution of entities moving through defined spaces.
Distinct from Spatial Discretization: Focuses on agent distributions in simulated spaces, unlike mixed-reality interaction frameworks or mesh conversion tools.
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Mesa is a Python framework for agent-based modeling and complex systems simulation. It provides a toolkit for creating simulations where autonomous agents interact within a shared environment to observe emergent global behaviors. The project includes a browser-based interface for real-time visualization of simulation states and agent interactions. It also functions as a data analysis library for recording and processing metrics from model runs to quantify system behavior. The framework supports multiple environmental topologies, including grid-based spatial mapping and network-graph topologi
Tracks agents moving through continuous spaces or discrete grids to study geographic or topological distributions.