A context model for knowledge-intensive
β
PINAR ΓZTΓRK; AGNAR AAMODT
π
Article
π
1998
π
Elsevier Science
π
English
β 436 KB
Decision-support systems that help solving problems in open and weak theory domains, i.e. hard problems, need improved methods to ground their models in real-world situations. Models that attempt to capture domain knowledge in terms of, e.g. rules or deeper relational networks, tend either to become