PASTA is a novel framework to perform inference, both exact and approximate, in Probabilistic Answer Set Programming under the Credal Semantics and to solve other related tasks, such as abduction, decision theory, maximum a posteriori inference, and parameter learning. Moreover, it also allows the expression of statistical statements. This paper shows the overall structure of the PASTA tool as well as some of the main options.
On the Development of PASTA: Inference in Probabilistic Answer Set Programming under the Credal Semantics
Azzolini D.
Primo
2023
Abstract
PASTA is a novel framework to perform inference, both exact and approximate, in Probabilistic Answer Set Programming under the Credal Semantics and to solve other related tasks, such as abduction, decision theory, maximum a posteriori inference, and parameter learning. Moreover, it also allows the expression of statistical statements. This paper shows the overall structure of the PASTA tool as well as some of the main options.File in questo prodotto:
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