Research Output per year
Personal profile
Education/Academic qualification
Mathematics, Doctorate, Instituto Superior Técnico
Fingerprint Dive into the research topics where Ricardo Gonçalves is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Semantics
Engineering & Materials Science
Logic programming
Engineering & Materials Science
Answer Set Programming
Mathematics
Logic Programs
Mathematics
Deontic Logic
Mathematics
Logic
Mathematics
Ontology
Engineering & Materials Science
Operator
Mathematics
Network
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Research Output at NOVA 2011 2018
4
Citations
(Scopus)
Reactive multi-context systems: Heterogeneous reasoning in dynamic environments
Brewka, G., Ellmauthaler, S., Gonçalves, R., Knorr, M., Leite, J. & Pührer, J., 1 Mar 2018, In : Artificial Intelligence. 256, p. 68-104 37 p.Research output: Contribution to journal › Article
Knowledge representation
Computational complexity
Semantics
knowledge
semantics
Variable Elimination for DLP-Functions
Gonçalves, R., Janhunen, T., Knorr, M., Leite, J. & Woltran, S., 2018, p. 643-644. 2 p.Research output: Contribution to conference › Abstract
persistence
programme
2
Citations
(Scopus)
Iterative variable elimination in ASP
Knorr, M., Gonçalves, R. & Leite, J., 2017, Progress in Artificial Intelligence - 18th EPIA Conference on Artificial Intelligence, EPIA 2017, Proceedings. Springer Verlag, Vol. 10423 LNAI. p. 643-656 14 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10423 LNAI).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open Access
Answer Set Programming
Invariance
Elimination
Atoms
Operator
2
Citations
(Scopus)
When you must forget: Beyond strong persistence when forgetting in answer set programming
Gonçalves, R., Knorr, M., Leite, J. & Woltran, S., 1 Sep 2017, In : Theory and Practice of Logic Programming. 17, 5-6, p. 837-854 18 p.Research output: Contribution to journal › Article
Answer Set Programming
Persistence
Atoms
Computational complexity
Computational Complexity
Forgetting in ASP: The Forgotten Properties
Goncalves, R., Knorr, M. & Leite, J., 2016, LOGICS IN ARTIFICIAL INTELLIGENCE, (JELIA 2016). Michael, L. & Kakas, A. (eds.). Cham: Springer International Publishing, p. 543-550 (Lecture Notes in Computer Science; vol. 10021).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution