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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.
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