Agent-based Modeling
Agent-based Modeling is an individual-centric, decentralized approach to model design. The modeler distinguishes the active entities, the agents (people, companies, vehicles, cities, animals, products, etc.) characterizes their behavior (states, reactions, etc.), places them in a certain environment, sets up connections, and runs the simulation. As the consequence of interactions of many individual behaviors, a ‘global’ behavior emerges.

Goals:
Easy, up-to-date, and precise way to model, compare scenarios, optimize, and forecast a strategy.
BrandIdea’s Implementation:
Consumer Behavior Analysis, Supply Chain