Cellular Autonoma Simulation
The cellular automata method simulates medium-scale scenarios by assigning spatial characteristics to agents and programs in a two-dimensional space. Agents follow simple, rule-based behaviors, producing emergent movement and interaction patterns. This approach incorporates factors like proximity, obstacles, and environmental influences, enabling the modeling of complex dynamics and providing insights into how agents navigate and interact within designed environments.
Documentation
Explore in-depth guidance and insights into the Cellular Autonoma Simulation, including its functionality, practical applications, and tips for integration into your design workflow
Example Files
Browse through a collection of example files showcasing key features, workflows, and design scenarios, providing a foundation for your own projects and helping you get started with Cellular Autonoma Simulation.
Introduction to H.I.V.E.'s Cellular Autonoma simulations
Advanced Cellular Autonoma simulation focused on a festival setting
Introduction to H.I.V.E.'s Cellular Autonoma simulations