Directions in uncertainty reasoning | The Knowledge Engineering Review | Cambridge Core (original) (raw)
Hostname: page-component-77f85d65b8-2tv5m Total loading time: 0 Render date: 2026-04-14T17:20:21.936Z Has data issue: false hasContentIssue false
Published online by Cambridge University Press: 01 December 1997
ERIC NEUFELD
Affiliation:
Department of Computer Science, 57 Campus Drive, University of Saskatchewan, Saskatoon. Saskatchewan, Canada, S7N 5AS
Abstract
‘Uncertainty reasoning” refers in a general way to problems discussed by that subset of the AI community interested in representing and reasoning with knowledge that cannot be expressed as certainties. The range of problems discussed runs the gamut from fundamental philosophical inquiry into the nature of uncertainty and how (if at all) it can be measured and modelled, to practical performance issues arising from the (automatic) construction of real-world models and making inferences from such models.
Information
Type
Brief Report
Copyright
© 1997 Cambridge University Press
Access options
Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)