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-: no this answer set.
For context-specific learning, this answer set was decomposed into subsets relevant to each process of interest.
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In this paper, we investigate the theoretical properties of these existing frameworks for learning programs under the answer set semantics.
The discussion is mainly limited to logic programs under the answer set semantics.
We propose a new translation from normal logic programs with constraints under the answer set semantics to propositional logic.
A larger subset is closely related to logic programming under the answer set semantics, yielding another approach to automated reasoning.
Then the candidate images are transferred to the slave nodes for a refinement process to obtain the answer set.
(3) Formula - The answer, set of requirements or model (example).
In the majority of the failed tests, many molecules shared similar scores in the answer set.
With Pareto optimization, the size k of the answer set is not fixed in beforehand.
On top of this, LARS programs extend Answer Set Programming (ASP) with rich stream reasoning capabilities; the latter can be exploited to target AI applications in a streaming context, such as diagnosis, configuration or planning.
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CEO of Professional Science Editing for Scientists @ prosciediting.com