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Another issue one may want to model is reasoning about a system from the perspective of an agent that has only partial knowledge about the parts of a system.
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In fact, four of the six links in my Social Intuitionist Model are reasoning links.
But what is reasoning?
In this paper, a formal model is introduced for reasoning about resource allocation and scheduling in real-time systems.
This means that this model is appropriate for reasoning about the ex ante stage rather than the ex interim stage.
The justification behind the assumed conditional independence in the proposed model is the same reasoning that the PLSA model is using to make an analytical model, that is, simplification of the model formulation and reasonable reduction of the computational cost.
One of the techniques tailored toward a bipartite causality graph based fault propagation model is Active Integrated fault Reasoning (AIR) [14], which is designed to minimize the intrusiveness of investigation actions (e.g., probings) via incrementally enhancing the fault hypothesis and optimizing the investigation action selection process.
The FMEA model is assisted by functional reasoning techniques to enable automatic FMEA generation from historical data.
In addition, the network model is compatible with computational reasoning to analyze systems biology data.
The reasoning model is a compound of the SCHOntology and a set of expert rules.
In the last step of the process, a reasoning model is selected to classify those documents contained in the dataset as relevant and nonrelevant.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com