Talks and Poster Presentations (with Proceedings-Entry):
T. Eiter, A. Weinzierl:
"Preference-Based Inconsistency Management in Multi-Context Systems (Extended Abstract)";
Talk: International Joint Conference on Artificial Intelligence (IJCAI),
- 2018-06-19; in: "Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, IJCAI 2018, July 13-19, 2018, Stockholm, Sweden.",
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.
Preference Modelling and Preference-Based Reasoning, Knowledge Representation Languages, Non-monotonic Reasoning
"Official" electronic version of the publication (accessed through its Digital Object Identifier - DOI)
Electronic version of the publication:
Created from the Publication Database of the Vienna University of Technology.