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The modeling approach employed in the present study involves Agent-Based Models (ABMs).
Agent-based models might help to stem future outbreaks by guiding surveillance priorities.
He then introduces agent-based models (ABM), in which agents are mobile and move between locations.
The use of agent-based models and other simulation techniques in building models of social phenomena.
Agent-based models could investigate loops such as this, providing ideas for how to mitigate the effects, Barrett says.
Principles, methods, techniques, design, implementation, and exploration of agent-based models were collectively studied and applied to urban planning problematics.
The model was documented using ODdox, a new protocol for describing large agent-based models.
There are few published examples of comprehensively validated large-scale land-use agent-based models (ABMs).
A growing number of researchers have developed agent-based models for simulating electricity markets.
Agent-based models are helpful to investigate complex dynamics in coupled human natural systems.
Estimation of agent-based models is currently an intense area of research.
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