2 dépôts
Tracking the movement of entities through continuous spaces or discrete grids to study distributions.
Distinct from Spatial Discretization: Focuses on geographic or topological distribution of agents, not mouse movements or vehicle timetables.
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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 and topological distributions.
This project is a procedural content generation toolkit designed for the Godot engine. It provides a collection of algorithmic techniques and modular tools for dynamically spawning game assets, map layouts, and emergent systems in both 2D and 3D environments. The framework distinguishes itself by offering specialized systems for both large-scale world construction and granular asset assembly. It supports the creation of expansive terrains and infinite worlds through noise-based distribution and shader-rendered biomes, while simultaneously providing modular systems to generate unique combat eq
Implements walker-based algorithms to carve paths and populate areas with autonomous agents for level design.