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» Representing Uncertainty in RuleML
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AI
2004
Springer
13 years 7 months ago
The limitation of Bayesianism
In the current discussion about the capacity of Bayesianism in reasoning under uncertainty, there is a conceptual and notational confusion between the explicit condition and the i...
Pei Wang
COMPLEX
2009
Springer
14 years 2 months ago
Designing Capital-Intensive Systems with Architectural and Operational Flexibility Using a Screening Model
: Development of capital intensive systems, such as offshore oil platforms or other industrial infrastructure, generally requires a significant amount of capital investment under v...
Jijun Lin, Olivier de Weck, Richard de Neufville, ...
JUCS
2010
100views more  JUCS 2010»
13 years 6 months ago
Spatial Reasoning with Integrated Qualitative-Metric Fuzzy Constraint Networks
Abstract: Qualitative Spatial Reasoning can be greatly improved if metric information can be represented and reasoning can be performed on it; moreover, modelling vagueness and unc...
Marco Falda
KI
2010
Springer
13 years 6 months ago
Positions, Regions, and Clusters: Strata of Granularity in Location Modelling
Location models are data structures or knowledge bases used in Ubiquitous Computing for representing and reasoning about spatial relationships between so-called smart objects, i.e....
Hedda Rahel Schmidtke, Michael Beigl
TVCG
2012
169views Hardware» more  TVCG 2012»
11 years 10 months ago
Visual Reasoning about Social Networks Using Centrality Sensitivity
—In this paper, we study the sensitivity of centrality metrics as a key metric of social networks to support visual reasoning. As centrality represents the prestige or importance...
Carlos D. Correa, Tarik Crnovrsanin, Kwan-Liu Ma