Projects per year
Abstract
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.
Original language | English |
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Pages | 5593-5597 |
Number of pages | 5 |
DOIs | |
Publication status | Published - 2018 |
Event | International Joint Conference on Artificial Intelligence - Stockholm, Sweden Duration: 13 Jul 2018 → 19 Jul 2018 Conference number: 27 http://www.ijcai-18.org |
Conference
Conference | International Joint Conference on Artificial Intelligence |
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Abbreviated title | IJCAI |
Country/Territory | Sweden |
City | Stockholm |
Period | 13/07/2018 → 19/07/2018 |
Internet address |
Fingerprint
Dive into the research topics of 'Preference-Based Inconsistency Management in Multi-Context Systems (Extended Abstract)'. Together they form a unique fingerprint.Projects
- 1 Finished
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Finnish centre of excellence in computational inference research
Kaski, S. (Principal investigator)
01/01/2015 → 31/12/2017
Project: Academy of Finland: Other research funding
Activities
- 1 Conference presentation
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Preference-Based Inconsistency Management in Multi-Context Systems (Extended Abstract)
Weinzierl, A. (Speaker)
18 Jul 2018Activity: Talk or presentation types › Conference presentation