Publications

Diagnostics as a reasoning process: From logic structure to software design  (2019)

Authors:
Cristani, Matteo; Olivieri, Francesco; Tomazzoli, Claudio; Vigano', Luca; Zorzi, Margherita
Title:
Diagnostics as a reasoning process: From logic structure to software design
Year:
2019
Type of item:
Articolo in Rivista
Tipologia ANVUR:
Articolo su rivista
Language:
Inglese
Format:
Elettronico
Referee:
Name of journal:
JOURNAL OF COMPUTING AND INFORMATION TECHNOLOGY. CIT
ISSN of journal:
1330-1136
N° Volume:
27
Page numbers:
43-57
Keyword:
Automated Reasoning, Hybrid Reasoning, Defeasible Logic, Labelled Deduction System, SpinDLE
Short description of contents:
Diagnostic tests are used to determine anomalies in complex systems such as organisms or built structures. Once a set of tests is performed, the experts interpret their results and make decisions based on them. This process is named diagnostic reasoning. In diagnostic reasoning a decision is established by using both rules and general knowledge on the tests and the domain. The artificial intelligence community has focused on devising and automating different methods of diagnosis for medicine and engineering, but, to the best of our knowledge, the decision process in logical terms has not yet been investigated thoroughly. The automation of the diagnostic process would be helpful in a number of contexts, in particular when the number of test sets to make decision is too wide to be dealt with manually. To tackle such challenges, we shall study logical frameworks for diagnostic reasoning, automation methods and their computational properties and technologies implementing these methods. In this paper, we present the formalization of a hybrid reasoning framework TL that hosts tests and deduction rules on tests, and an algorithm that transforms a TL theory into defeasible logic, for which an implemented automated deduction technology (called Spindle) exists. We evaluate the methodology by means of a real-world example related to the Open Web Application Security Project requisites. The full diagnostic process is driven from the definition of the issue to the decision.
Web page:
http://cit.fer.hr/index.php/CIT/article/view/4411
Product ID:
107403
Handle IRIS:
11562/992671
Last Modified:
June 2, 2023
Bibliographic citation:
Cristani, Matteo; Olivieri, Francesco; Tomazzoli, Claudio; Vigano', Luca; Zorzi, Margherita, Diagnostics as a reasoning process: From logic structure to software design «JOURNAL OF COMPUTING AND INFORMATION TECHNOLOGY. CIT» , vol. 272019pp. 43-57

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