• On the Development of PASTA: I...

Treffer: On the Development of PASTA: Inference in Probabilistic Answer Set Programming under the Credal Semantics

Title:
On the Development of PASTA: Inference in Probabilistic Answer Set Programming under the Credal Semantics
Authors:
Azzolini D.
Publisher Information:
Open Publishing Association, 2023.
Publication Year:
2023
Subject Terms:
Probabilistic Answer Set Programming, Statistical Relational Artificial Intelligence
Document Type:
Konferenz Conference object
File Description:
application/pdf
Language:
English
DOI:
10.4204/eptcs.385.30
Access URL:
https://hdl.handle.net/11392/2525191
https://arxiv.org/html/2308.14898#EPTCS385.30
Rights:
CC BY
Accession Number:
edsair.od......3709..821d51ed4835e809330349dccf7c55cb
Database:
OpenAIRE

Weitere Informationen

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.