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Cellular Automata 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.

1

Documentation

H.I.V.E.'s documentation provides detailed explanations of every component in the Cellular Automata simulation, including parameters and features to help you build and customize pedestrian simulations with confidence.

2

Video Tutorial Series

The H.I.V.E. Essentials tutorial series walks you through every component of the Cellular Automata simulation, explaining parameters in detail and showing you how to build, customize, and refine pedestrian workflows step by step.​

3

Example Files

H.I.V.E.'s example files showcase ready-to-use setups for the Cellular Automata simulation, giving you practical references to explore component connections, parameter settings, and complete pedestrian workflows.

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Can't Wait?

Get started now with our H.I.V.E. Essentials tutorial series

H.I.V.E. CA: Building a Simulation
00:40
H.I.V.E. CA: Creating a Program
00:40
H.I.V.E. CA: Creating an Agent Type
00:52
H.I.V.E. CA: Defining Agent Type Defaults
00:46
H.I.V.E. CA: Creating an Environment
00:32
H.I.V.E. CA: Compiling a Simulation
00:45
H.I.V.E. CA: Running a Simulation
01:13
H.I.V.E. CA: Deconstructing a Simulation
00:46
H.I.V.E. CA: Deconstructing an Agent Type
01:02
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