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KR
2004
Springer
14 years 1 months ago
Inferential Complexity Control for Model-Based Abduction
We describe a technique for speeding up inference for model-based abduction tasks that trades off inference time and/or space for the fraction of queries correctly answered. We co...
Gregory M. Provan
WSC
2008
13 years 11 months ago
Knowledge-based event control for flow-shops using simulation and rules
The requirements on production systems and their planning and control systems are constantly growing. Systems have to be flexible and provide viable solutions at the same time. Di...
Mark Aufenanger, Wilhelm Dangelmaier, Christoph La...
ANSS
2006
IEEE
14 years 2 months ago
A New Approach for Computing Conditional Probabilities of General Stochastic Processes
In this paper Hidden Markov Model algorithms are considered as a method for computing conditional properties of continuous-time stochastic simulation models. The goal is to develo...
Fabian Wickborn, Claudia Isensee, Thomas Simon, Sa...
WSC
2007
13 years 11 months ago
Exploiting web service techniques for composing simulation models
Two basic approaches to simulation model composition can be distinguished, depending on whether the unit of composition is a model specification according to a certain modeling f...
Mathias Röhl, Florian Marquardt, Adelinde M. ...
ECOOP
2009
Springer
14 years 9 months ago
COPE - Automating Coupled Evolution of Metamodels and Models
Model-based development promises to increase productivity by offering modeling languages tailored to a specific domain. Such modeling languages are typically defined by a metamodel...
Elmar Jürgens, Markus Herrmannsdoerfer, Sebas...