AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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Uncer-tainTree is presented, an end-to-end process that makes uncertainty a first-class concern of multi-model consistency analysis and includes interacting uncertainties from various sources and models.
This work continues previous work of equipping the NeoJoin view definition language with a formal semantics that is based on triple graph grammars (TGGs), and introduces a skip semantics for TGG rules, i.e., allowing to skip certain actions a rule prescribes, depending on the application context.
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