Abstract: Examples of techniques for machine learning-based system architecture determination are described herein. An aspect includes receiving a system architecture specification corresponding to a system design, and a plurality of topological variants of the system architecture specification. Another aspect includes determining a system architecture graph based on the system architecture specification. Another aspect includes classifying, by a neural network-based classifier, each of the topological variants as a feasible architecture or an infeasible architecture based on the system architecture graph. Another aspect includes identifying a subset of the feasible architectures as system design candidates based on performance predictions.

Abstract: Provided is a computer implemented method for providing an agent for creating a graph neural network architecture, which is suitable for providing a prediction of at least one indicator of a complex system and to a computer implemented method for providing such a graph neural network architecture by an agent. Also provide is an agent and a unit for providing an agent a computer program product and computer readable storage media.

Abstract: Systems (500) and methods (400) for an interactive system for automatic generation, analysis and exploration of composable system of systems based on knowledge graphs. A method (400) includes receiving (405) a scenario (110) and a domain ontology (111); determining (410) structures (132), attributes (133), and capabilities (131) from the domain ontology; generating (415) design alternatives (146) based on the scenario using the structures, attributes, and capabilities; performing (430) an evaluation (159) of the design alternatives based on the scenario; generating (445) an SoS design (300) based on the evaluation; and displaying the SoS design to a user.

Abstract: A system and method for using modeling language for efficient generation of design architectures in a design system are provided. A design space problem is received by the design system. The design space problem is transformed into a design space model. One or more ensembles are generated from the design space model. One or more design architectures are generated from the ensembles.

Abstract: A system and method for using modeling language for efficient generation of design architectures in a design system are provided. A design space problem is received by the design system. The design space problem is transformed into a design space model. One or more ensembles are generated from the design space model. One or more design architectures are generated from the ensembles.