Logic-based Technologies for Intelligent Systems: State of the Art and Perspectives


Roberta Calegari, Giovanni Ciatto, Enrico Denti, Andrea Omicini

Information 11(3), pages 1–29, 29 pages, article 167, March 2020
MDPI
Willy Susilo (eds.)
Special Issue “10th Anniversary of Information—Emerging Research Challenges”

Together with the disruptive development of modern sub-symbolic approaches to artificial intelligence (AI), symbolic approaches to classical AI are re-gaining momentum, as more and more researchers exploit their potential to make AI more comprehensible, explainable, and therefore trustworthy. Since logic-based approaches lay at the core of symbolic AI, summarizing their state of the art is of paramount importance now more than ever, in order to identify trends, benefits, key features, gaps, and limitations of the techniques proposed so far, as well as to identify promising research perspectives. Along this line, this paper provides an overview of logic-based approaches and technologies by sketching their evolution and pointing out their main application areas. Future perspectives for exploitation of logic-based technologies are discussed as well, in order to identify those research fields that deserve more attention, considering the areas that already exploit logic-based approaches as well as those that are more likely to adopt logic-based approaches in the future

(keywords) symbolic AI; logic-based technologies; intelligent systems
 @article{logictech-information11,
articleno = 167,
author = {Calegari, Roberta and Ciatto, Giovanni and Denti, Enrico and Omicini, Andrea},
dblpid = {journals/information/CalegariCDO20},
doi = {10.3390/info11030167},
editor = {Susilo, Willy},
irisid = {11585/752671},
issn = {2078-2489},
journal = {Information},
keywords = {symbolic AI; logic-based technologies; intelligent systems},
month = mar,
note = {Special Issue ``10th Anniversary of Information---Emerging Research Challenges''},
number = 3,
pages = {1--29},
publisher = {MDPI},
scholarid = {15744297419438793629},
scopusid = {2-s2.0-85082507008},
title = {Logic-based Technologies for Intelligent Systems: State of the Art and Perspectives},
url = {http://www.mdpi.com/2078-2489/11/3/167},
volume = 11,
wosid = {000524309400026},
year = 2020

Journals & Series

Publication

— authors

Roberta Calegari, Giovanni Ciatto, Enrico Denti, Andrea Omicini

— editors

Willy Susilo

— status

published

— sort

article in journal

Venue

— journal

Information

— volume

11

— issue

3

— pages

1–29

— article no.

167

— publication date

March 2020

URLs

original page

Identifiers

— DOI

10.3390/info11030167

— DBLP

journals/information/CalegariCDO20

— IRIS

11585/752671

— Scholar

15744297419438793629

— Scopus

2-s2.0-85082507008

— WoS / ISI

000524309400026

— print ISSN

2078-2489

BibTeX

— BibTeX ID
logictech-information11
— BibTeX category
article

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