Knowledge Integration Methods for Probabilistic Knowledge-based Systems

1. Introduction 2. Probabilistic Knowledge-based Systems 3. Consistency Measures for Probabilistic Knowledge Bases 4. Methods for Restoring Consistency in Probabilistic Knowledge Bases 5. Distance-Based Methods for Integrating Probabilistic Knowledge Bases 6. Value-based Method for Integrating Probabilistic Knowledge Bases 7. Experiments and Applications 8. Conclusions and Open Problems

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• Os sistemas especialistas / sistemas baseados em conhecimento
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• Programação de computadores / desenvolvimento de software
• Ciência ambiental, engenharia e tecnologia
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Knowledge and integration methods;Inconsistency measures;Knowledge-based systems;Probabilistic knowledge;Knowledge management;Probabilistic Constraint;Inconsistency Measure;Knowledge Integration;Knowledge Based Systems;Knowledge Representation Methods;MLN;Actual Experimental Sets;Differential Algorithm;PCFGs;Inference Engine;Integrating Operator;Bayesian Network;Generalized Polynomials;MIO;Complete Conjunctions;Dynamic Knowledge Management;IDP;Construction Theorems;NAI;DDF;Knowledge Inconsistency;Uncertainty Resolution;Lexicographical Term Order;Bayesian Network Model