NAIVE: A Method for Representing Uncertainty and Temporal Relationships in an Automated Reasoner

doi:doi:10.57702/o2dff6vz

NAIVE: A Method for Representing Uncertainty and Temporal Relationships in an Automated Reasoner

NAIVE is a low-level knowledge representation language and inferencing process for reasoning about nondeterministic dynamic systems like those found in medicine.

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The json representation of the dataset with its distributions based on DCAT.
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Michael C. Higgins (2024). Dataset: NAIVE: A Method for Representing Uncertainty and Temporal Relationships in an Automated Reasoner. https://doi.org/10.57702/o2dff6vz

DOI retrieved: December 16, 2024

Additional Info

Field	Value
Created	December 16, 2024
Last update	December 16, 2024
Defined In	https://doi.org/10.48550/arXiv.1304.2726
Author	Michael C. Higgins