Multi-agent active inference digital twins with contextual inference and streaming ML integration, illustrated via a Cournot competition socio-economic example.
Bot ´ın-Sanabria, Adriana-Simona Mihaita, Rodrigo E
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An auto-generating digital twin system for particle accelerators cascades lattice information from a ground source of truth to create a virtual control system that updates simulations and provides feedback to virtual diagnostics, tested on CLARA, ISIS injector, and proposed UK XFEL.
This paper proposes a research agenda for software engineering of self-adaptive robotic systems along lifecycle stages and enabling technologies, identifying challenges and a roadmap to 2030.
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Multi-Agent Digital Twins for Strategic Decision-Making using Active Inference
Multi-agent active inference digital twins with contextual inference and streaming ML integration, illustrated via a Cournot competition socio-economic example.
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Closing the Loop: Deploying Auto-Generating Digital Twins for Particle Accelerators
An auto-generating digital twin system for particle accelerators cascades lattice information from a ground source of truth to create a virtual control system that updates simulations and provides feedback to virtual diagnostics, tested on CLARA, ISIS injector, and proposed UK XFEL.
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Software Engineering for Self-Adaptive Robotics: A Research Agenda
This paper proposes a research agenda for software engineering of self-adaptive robotic systems along lifecycle stages and enabling technologies, identifying challenges and a roadmap to 2030.