Advanced · Research

Agent-Based Model

Visual diagram · (in preparation) · Math · (in preparation) · Worked example · 3 difficulty levels.

TL;DR. A computational model simulating the actions and interactions of autonomous agents to observe system-level properties.

Technical Definition

A computational model simulating the actions and interactions of autonomous agents to observe system-level properties.

How it works

Agent-based modeling (ABM) is a powerful simulation technique where a system's emergent properties are studied by defining individual agents and their behaviors, interactions, and environments. Unlike aggregate models, ABMs capture complex, non-linear relationships and heterogeneity among components, making them suitable for studying intricate social, economic, or biological systems. This approach draws from computation theory and complexity science to provide insights into macro-level phenomena from micro-level rules.

Related Concepts

• Simulation — Synthetic environments that let agents or models train and be evaluated without real-world risk.