AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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Implementing Metric Temporal Answer Set Programming
This work develops a computational approach to Metric Answer Set Programming to express quantitative temporal constrains, such as durations and deadlines, and effectively decouples metric ASP from the granularity of time, resulting in a solution that is independent of time precision.
Bound-Founded Semantics for Answer Set Programming with Difference Constraints: Preliminary Report
A many-sorted variant of the Bound-founded Logic of Here-and-There (HTb) is introduced, providing a versatile framework capable of characterizing equilibrium models across a wide spectrum of alternative semantics for extensions of ASP with linear constraints.