Artificial intelligence (AI) can contribute to the management of a data driven simulation system, in particular with regard to adaptive selection of data and refinement of the model on which the simulation is based. We consider two different classes of intelligent agent that can control a data driven simulation: (a) an autonomous agent using internal simulation to test and refine a model of its environment and (b) an assistant agent managing a data-driven simulation to help humans understand a complex system (assisted model-building).
Citation:
Catriona Kennedy, Georgios Theodoropoulos, "Intelligent Management of Data Driven Simulations to Support Model Building," pads, pp.132, 20th Workshop on Principles of Advanced and Distributed Simulation (PADS'06), 2006