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Márcio Moretto Ribeiro

dblp:68/2001 · DBLP profile ↗
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6ranked-venue papers
4as first author
0since 2021 · last 2018
0000-0001-5653-3373ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 4 · 2 first-authorTheory of computation · 4 · 3 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
2 papers
Knowledge representation and reasoning · 100%
Theoretical computer science
1 paper
Logic in computer science · 100%

Topics — the 6 heaviest of 6, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Knowledge, reasoning and agents › Knowledge representation and reasoning
belief change
0.212016
Consolidating Probabilistic Knowledge Bases via Belief Contraction · KR 2016
Knowledge, reasoning and agents › Knowledge representation and reasoning › belief change
belief contraction
0.212016
Consolidating Probabilistic Knowledge Bases via Belief Contraction · KR 2016
Knowledge, reasoning and agents › Knowledge representation and reasoning › probabilistic reasoning
probabilistic knowledge bases
0.212016
Consolidating Probabilistic Knowledge Bases via Belief Contraction · KR 2016
Logic in computer science › knowledge representation and reasoning
belief change
0.212014
Minimal Change in AGM Revision for Non-Classical Logics · KR 2014
Logic in computer science › philosophical logic
non-classical logic
0.212014
Minimal Change in AGM Revision for Non-Classical Logics · KR 2014
Knowledge, reasoning and agents › Knowledge representation and reasoning
belief revision
0.212013
Minimal change: Relevance and recovery revisited · Artif. Intell. 2013
YearPublicationVenuePosition
2018 Partial meet pseudo-contractions
abstract
In the AGM paradigm for belief revision, epistemic states are represented by logically closed sets of sentences, the so-called belief sets.An alternative approach uses belief bases, arbitrary sets of sentences.Both approaches have their problems when it comes to contraction operations.Belief bases are more expressive, but, at the same time, they present a serious syntax dependence.Between those two extremes lie a whole gamut of operations called pseudo-contractions, some of which may be interesting alternatives to the classical ones, providing a good balance between syntax dependence and expressivity.In this paper we explore some very natural and general constructions for pseudocontractions, showing some of their properties and giving their axiomatic characterizations.We also illustrate possible practical scenarios where they can be employed.
Yuri David Santos, Vinícius Bitencourt Matos, Márcio Moretto Ribeiro, Renata Wassermann
Int. J. Approx. Reason.3
2016 Consolidating Probabilistic Knowledge Bases via Belief Contraction
Glauber De Bona, Marcelo Finger, Márcio Moretto Ribeiro, Yuri David Santos, Renata Wassermann
KR3
2014 Minimal Change in AGM Revision for Non-Classical Logics
Márcio Moretto Ribeiro, Renata Wassermann
KR1
2013 Minimal change: Relevance and recovery revisited
Márcio Moretto Ribeiro, Renata Wassermann, Giorgos Flouris, Grigoris Antoniou
Artif. Intell.1
2012 Contracting Logics
Márcio Moretto Ribeiro, Marcelo E. Coniglio
WoLLIC1
2009 Base Revision for Ontology Debugging
abstract
Belief Revision deals with the problem of adding new information to a knowledge base in a consistent way. Ontology Debugging, on the other hand, aims to find the axioms in a terminological knowledge base which caused the base to become inconsistent. In this article, we propose a belief revision approach in order to find and repair inconsistencies in ontologies represented in some description logic (DL). As the usual belief revision operators cannot be directly applied to DLs, we propose new operators that can be used with more general logics and show that, in particular, they can be applied to the logics underlying OWL-DL and Lite.
Márcio Moretto Ribeiro, Renata Wassermann
J. Log. Comput.1