Qualitative futures
The Knowledge Engineering ReviewPublished 1 December 2006
C.J. Price, Louise Travé-Massuyès, Robert Milne, Liliana Ironi, Ken Forbus, Bert Bredeweg
Citations47
SJR quartileQ2
SJR score0.69
SNIP1.47
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Abstract
This paper reviews the state of the art in model-based systems and qualitative reasoning, and considers where the field will be in 20 years time. It highlights six areas where developments in model-based systems in general, and in qualitative reasoning in particular, have the potential to provide significant computer-based help. The paper also examines where further technological developments might be needed in order to achieve these qualitative futures.
Keywords
Computer Science
ScienceIntelligent Tutoring Systems
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