Vorträge und Posterpräsentationen (mit Tagungsband-Eintrag):
T. Eiter, A. Weinzierl:
"Preference-Based Inconsistency Management in Multi-Context Systems (Extended Abstract)";
Vortrag: International Joint Conference on Artificial Intelligence (IJCAI),
Stockholm, Sweden;
13.06.2018
- 19.06.2018; in: "Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, IJCAI 2018, July 13-19, 2018, Stockholm, Sweden.",
Stockholm, Sweden
(2018),
ISBN: 978-0-9992411-2-7;
S. 5593
- 5597.
Kurzfassung englisch:
Establishing information exchange between existing knowledge-based systems can lead to devastating inconsistency. Automatic resolution of inconsistency often is unsatisfactory, because any modification of the information flow may lead to bad or even dangerous conclusions. Methods to identify and select preferred repairs of inconsistency are thus needed. In this work, we leverage the expressive power and generality of Multi-Context Systems (MCS), a formalism for information exchange, to select most preferred repairs, by use of a meta-reasoning transformation. As for computational complexity, finding preferred repairs is not higher than the base case; finding most-preferred repairs is higher, yet worst-case optimal.
Schlagworte:
Preference Modelling and Preference-Based Reasoning, Knowledge Representation Languages, Non-monotonic Reasoning
"Offizielle" elektronische Version der Publikation (entsprechend ihrem Digital Object Identifier - DOI)
http://dx.doi.org/10.24963/ijcai.2018/791
Elektronische Version der Publikation:
https://www.ijcai.org/proceedings/2018/0791.pdf
Erstellt aus der Publikationsdatenbank der Technischen Universität Wien.