ML-Aided Simulation: A Conceptual Framework for Integrating Simulation Models with Machine Learning

摘要: Recent trends towards data-driven methods may require a substantial rethinking regarding the practice of Modeling &Simulation (M&S). Machine Learning (ML) is now becoming an instrumental artefact for developing new insights, or improving already established knowledge. Reflecting this broad scope, paper presents conceptual framework to guide integration simulation models with ML. At its core, our approach based on premise that system knowledge can be (partially) captured and learned from data in automated manner aided by We conceive help realise adaptive learn change their behaviour response behavioural changes actual interest. Broadly, study conceived foster ideas speculative directions integrating M&S