A Framework to Support Decision-Making Based on AI and Simulation of Large-Scale Models.

Big data collection and analysis is used in industry and public organizations to support decision-making. However, simulation as a core technology to support optimization, or the exploration of large state spaces in artificial intelligence have serious difficulties for industrial adoption. Our approach to solve these difficulties is the adoption of a modelling methodology supported by a cohesive framework based on the Petri net formalism for efficient simulation of complex discrete event systems over large computational infrastructures.