- 1) Complex phenomena can be programmed using simple rules
- 2) Randomness in agent behavior can lead to predictable population behavior
- 3) Complex patterns do not need a leader to orchestrate the behavior (self-organization)
- 4) Different models can show vastly different aspects of the world

University of Michigan - Ann Arbor

A model of some phenomenon that is constructed through agents and their interactions with one another. They are uniquely equipped to model complex systems and are usually easier to understand than equivalent mathematical models.

Agent-Based Model

Badham, Jennifer. Agent-Based Modelling for the Self Learner. MIT Press., 2015. 

Agent-Based Modelling for the Self Learner

The agents that compose an ABM are individual, computational entities with state variables, and values (I.e., age, height, income, etc.) They often also have a visible component (e.g., being visible on a computer screen.)

Agents (in ABMs)

A computer program developed by Uri Wilensky for ABM.

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