A framework for building knowledge-bases under uncertainty

DOI10.1080/095281399146571zbMath1069.68607OpenAlexW2044266499MaRDI QIDQ4421246

Eugene jun. Santos, Eugene S. Santos

Publication date: 2 November 2003

Published in: Journal of Experimental & Theoretical Artificial Intelligence (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/095281399146571

zbMATH Keywords

ComplexityKnowledge RepresentationReasoning Under UncertaintyProbabilistic Reasoning

Mathematics Subject Classification ID

Knowledge representation (68T30) Reasoning under uncertainty in the context of artificial intelligence (68T37) Theory of languages and software systems (knowledge-based systems, expert systems, etc.) for artificial intelligence (68T35)

Related Items (4)

Automatic emergence detection in complex systems ⋮ Implicitly preserving semantics during incremental knowledge base acquisition under uncertainty. ⋮ Cost-based temporal reasoning ⋮ Bayesian knowledge base tuning

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