Agent-Based Model

A computational simulation approach that represents individual entities as autonomous agents with attributes and rules for behavior and interaction; system-level patterns emerge from local agent interactions rather than being imposed top-down.

A computational modeling paradigm that represents a system as a collection of autonomous, heterogeneous agents that follow simple rules for perception and action; the global behavior is obtained by simulating many agents and their local interactions to observe emergent system-level phenomena.

A simulation framework that represents individual entities (animals, people, vectors) as autonomous agents with explicit state variables and behaviour rules; agents interact locally in space or on networks and stochastic, heterogeneous micro‑level interactions produce emergent system‑level patterns useful for exploring interventions, heterogeneity effects, and context‑dependent outcomes.