Weighted logics for artificial intelligence - An introductory discussion

Dubois, D; Godo, L; Prade, H

Weighted logics for artificial intelligence - An introductory discussion

Dubois, D Godo, L Prade, H

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Publication Type:: Journal Article
Citation:: International Journal of Approximate Reasoning, 2014, 55 (9), pp. 1819 - 1829
Issue Date:: 2014-12-01

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Field	Value	Language
dc.contributor.author	Dubois, D	en_US
dc.contributor.author	Godo, L	en_US
dc.contributor.author	Prade, H https://orcid.org/0000-0003-4586-8527	en_US
dc.date.issued	2014-12-01	en_US
dc.identifier.citation	International Journal of Approximate Reasoning, 2014, 55 (9), pp. 1819 - 1829	en_US
dc.identifier.issn	0888-613X	en_US
dc.identifier.uri	http://hdl.handle.net/10453/115648
dc.description.abstract	© 2014 Elsevier Inc. Before presenting the contents of the special issue, we propose a structured introductory overview of a landscape of the weighted logics (in a general sense) that can be found in the Artificial Intelligence literature, highlighting their fundamental differences and their application areas.	en_US
dc.relation.ispartof	International Journal of Approximate Reasoning	en_US
dc.relation.isbasedon	10.1016/j.ijar.2014.08.002	en_US
dc.subject.classification	Artificial Intelligence & Image Processing	en_US
dc.title	Weighted logics for artificial intelligence - An introductory discussion	en_US
dc.type	Journal Article
utslib.citation.volume	9	en_US
utslib.citation.volume	55	en_US
utslib.for	0103 Numerical and Computational Mathematics	en_US
utslib.for	0104 Statistics	en_US
utslib.for	0801 Artificial Intelligence and Image Processing	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Software
pubs.organisational-group	/University of Technology Sydney/Strength - CAI - Centre for Artificial Intelligence
utslib.copyright.status	closed_access
pubs.issue	9	en_US
pubs.publication-status	Published	en_US
pubs.volume	55	en_US

Abstract:

© 2014 Elsevier Inc. Before presenting the contents of the special issue, we propose a structured introductory overview of a landscape of the weighted logics (in a general sense) that can be found in the Artificial Intelligence literature, highlighting their fundamental differences and their application areas.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/115648