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Key concepts in simulation and modeling explained
Key concepts in simulation and modeling explained
ABMs situate entities in virtual environments, or digital twins, in order to help better understand how the behavior of agents changes under varying conditions, and itself can impact broader systems.
Data Mining is a process applied to find unknown patterns, correlations, and anomalies in data. Through mining, meaningful insights can be extracted from data.
DRL is a subset of Machine Learning in which agents are allowed to solve tasks on their own, and thus discover new solutions independent of human intuition.
DES is a modeling approach that focuses on the occurrence of events in a simulation, separately and instantaneously, rather than on any chronological-scale.
Process mining is an application of data mining with the purpose of mapping an organization’s processes. It is used to optimize operations, and identify weaknesses.
Simulation Models seek to demonstrate what happens to environments and agents within them, over time, under varying conditions.