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IJCAI
2003
13 years 9 months ago
Scenario-based Stochastic Constraint Programming
To model combinatorial decision problems involving uncertainty and probability, we extend the stochastic constraint programming framework proposed in [Walsh, 2002] along a number ...
Suresh Manandhar, Armagan Tarim, Toby Walsh
SOFSEM
2007
Springer
14 years 1 months ago
Games, Time, and Probability: Graph Models for System Design and Analysis
Digital technology is increasingly deployed in safety-critical situations. This calls for systematic design and verification methodologies that can cope with three major sources o...
Thomas A. Henzinger
CONSTRAINTS
2006
70views more  CONSTRAINTS 2006»
13 years 7 months ago
Stochastic Constraint Programming: A Scenario-Based Approach
To model combinatorial decision problems involving uncertainty and probability, we introduce scenario based stochastic constraint programming. Stochastic constraint programs conta...
Armagan Tarim, Suresh Manandhar, Toby Walsh
WSC
2007
13 years 10 months ago
Representing and generating uncertainty effectively
Stochastic simulations involve at least some random inputs. This introductory tutorial is meant to call attention to the need to model and generate such inputs in ways that may no...
W. David Kelton
WSC
1998
13 years 9 months ago
Comparison of Bayesian and Frequentist Assessments of Uncertainty for Selecting the Best System
An important problem in discrete-event stochastic simulation is the selection of the best system from a finite set of alternatives. There are many techniques for ranking and selec...
Koichiro Inoue, Stephen E. Chick