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This paper proposes an integrated methodology combining MBSE with stochastic degradation modeling for dynamic requirement verification under both functional and degraded scenarios, applied to the primary loop of a Molten Salt Reactor.
Json-SysML is introduced, a compact, AI-optimized representation that encodes SysML v1 models into a standardized and semantically accessible JSON format, supported by an automated, bidirectional conversion pipeline that bridges Json-SysML and XMI-encoded SysML models, facilitating integration within existing MBSE envi...
This work introduces a graph-based framework in which a single small language model is trained via reinforcement learning to specialize at each node of a recovery graph, external to the main agent, external to the main agent.
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