A digital twin that tracks uncertainty and staleness of link state, rather than assuming the last measurement is valid, is proposed for autonomous cislunar communication.
The Evolution of Digital Twins from Reactive to Agentic Systems
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Digital twins are evolving into self-learning, autonomous systems that link models, data, and human interaction. Realizing their full potential depends on interoperability, standardization, and the integration of artificial intelligence and advanced computational reasoning across sectors.
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A Knowledge-Centric Communication For Autonomous Cislunar Networks
A digital twin that tracks uncertainty and staleness of link state, rather than assuming the last measurement is valid, is proposed for autonomous cislunar communication.