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» Extending the CLP Engine for Reasoning under Uncertainty
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TIM
2010
144views Education» more  TIM 2010»
12 years 12 months ago
Extending Polynomial Chaos to Include Interval Analysis
Polynomial chaos theory (PCT) has been proven to be an efficient and effective way to represent and propagate uncertainty through system models and algorithms in general. In partic...
Antonello Monti, Ferdinanda Ponci, Marco Valtorta
AIEDAM
2008
114views more  AIEDAM 2008»
13 years 5 months ago
Design rationale: Researching under uncertainty
Rationale research in software development is a challenging area because while there is no shortage of advocates for its value, there is also no shortage of reasons for why rationa...
Janet E. Burge
IJCAI
2003
13 years 6 months ago
Temporal Reasoning with Preferences and Uncertainty
Temporal Constraint Satisfaction Problems allow for reasoning with events happening over time. Their expressiveness has been extended independently in two directions: to account f...
Neil Yorke-Smith, Kristen Brent Venable, Francesca...
CL
2000
Springer
13 years 9 months ago
Logic, Knowledge Representation, and Bayesian Decision Theory
In this paper I give a brief overview of recent work on uncertainty inAI, and relate it to logical representations. Bayesian decision theory and logic are both normative frameworks...
David Poole
CPAIOR
2010
Springer
13 years 10 months ago
Constraint Reasoning with Uncertain Data Using CDF-Intervals
Interval coefficients have been introduced in OR and CP to specify uncertain data in order to provide reliable solutions to convex models. The output is generally a solution set, ...
Aya Saad, Carmen Gervet, Slim Abdennadher