Preference-Based Inconsistency Management in Multi-Context Systems (Extended Abstract)

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussavertaisarvioitu

Tutkijat

  • Thomas Eiter
  • Antonius Weinzierl

Organisaatiot

  • Vienna University of Technology

Kuvaus

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.

Yksityiskohdat

AlkuperäiskieliEnglanti
Sivumäärä5593-5597
Sivumäärä5
TilaJulkaistu - 2018
TapahtumaInternational Joint Conference on Artificial Intelligence - Stockholm, Ruotsi
Kesto: 13 heinäkuuta 201819 heinäkuuta 2018
Konferenssinumero: 27
http://www.ijcai-18.org

Conference

ConferenceInternational Joint Conference on Artificial Intelligence
LyhennettäIJCAI
MaaRuotsi
KaupunkiStockholm
Ajanjakso13/07/201819/07/2018
www-osoite

ID: 26808670