AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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This work introduces amomaximize, a novel maximization statement that integrates AMO constraints directly into the objective function, and shows that, in specific scenarios, this approach improves performance compared to clingo.
A theoretical analysis of the conditions under which LBBD, including cuts, can preserve optimality in the context of Answer Set Programming (ASP), a prominent logic-based language in the field of Artificial Intelligence and introduces a general-purpose algorithm that preserves the optimality guarantees of Bender Decomp...
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