AGENT-BASED SIMULATION · URBAN PLANNING
Agent-based Simulation for Urban Planning: model settlement growth, movement, capacity, services and resources, compare scenarios, and inspect persistent state and autonomous-agent behavior in Epic Simulation.
Model many autonomous actors with local rules and inspect system-level outcomes. For urban planning, the model focuses on settlement growth, movement, capacity, services and resources.
Start with explicit assumptions, change one or more conditions, preserve state history, and compare why trajectories diverge.
Also inspect agent choices, resource changes, constraints, feedback loops and second-order effects.
A simulation is a model of possibilities, not a guarantee or proof of a real-world outcome.
It applies agent-based simulation to settlement growth, movement, capacity, services and resources.
agent state, interaction rate, coordination, emergent patterns.
No. A simulation explores modeled possibilities under explicit assumptions; it does not prove what will happen in the real world.