Extending expressivity and flexibility of abductive logic programming

Real-world problems often require purely deductive reasoning to be supported by other techniques that can cope with noise in the form of incomplete and uncertain data. Abductive inference tackles incompleteness by guessing unknown information, provided that it is compliant with given constraints. Pr...

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Bibliographic Details

Published in:	Journal of intelligent information systems Vol. 51; no. 3; pp. 647 - 672
Main Author:	Ferilli, Stefano
Format:	Journal Article
Language:	English
Published:	New York Springer US 01.12.2018 Springer Nature B.V
Subjects:	Artificial Intelligence Computer Science Data Structures and Information Theory Information Information Storage and Retrieval Intelligent systems IT in Business Logic programming Natural Language Processing (NLP) Reasoning Abductive logic programming Probability Constraints
ISSN:	0925-9902, 1573-7675
Online Access:	Get full text
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