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Mathematical Models for Handling Partial Knowledge in Artificial Intelligence

BuchKartoniert, Paperback
308 Seiten
Englisch
Springererschienen am30.05.2013Softcover reprint of the original 1st ed. 1995
Petr Hajek shows that reasoning in fuzzy logic may be put on a strict logical (formal) basis, so contributing to our understanding of what fuzzy logic is and what one is doing when applying fuzzy reasoning.mehr
Verfügbare Formate
BuchGebunden
EUR160,49
BuchKartoniert, Paperback
EUR160,49

Produkt

KlappentextPetr Hajek shows that reasoning in fuzzy logic may be put on a strict logical (formal) basis, so contributing to our understanding of what fuzzy logic is and what one is doing when applying fuzzy reasoning.
Details
ISBN/GTIN978-1-4899-1426-2
ProduktartBuch
EinbandartKartoniert, Paperback
Verlag
Erscheinungsjahr2013
Erscheinungsdatum30.05.2013
AuflageSoftcover reprint of the original 1st ed. 1995
Seiten308 Seiten
SpracheEnglisch
Gewicht488 g
IllustrationenIX, 308 p. 3 illus.
Artikel-Nr.15433984

Inhalt/Kritik

Inhaltsverzeichnis
Invited Papers.- Ellsberg Paradox Intuition and Choquet Expected Utility.- Fuzzy Logic as Logic.- Mathematical Foundations of Evidence Theory.- Semantics for Uncertain Inference Based on Statistical Knowledge.- Prospects and Problems in Applying the Fundamental Theorem of Prevision as an Expert System: An Example of Learning about Parole Decisions.- Coherent Prevision as a Linear Functional without an Underlying Measure Space: The Purely Arithmetic Structure of Logical Relations among Conditional Quantities.- Revision Rules for Convex Sets of Probabilities.- Some Mathematical Tools for Decision Making under Partial Knowledge.- From Bayesian Networks to Causal Networks.- Contributed Papers.- Generalized Concept of Atoms for Conditional Events.- Checking the Coherence of Conditional Probabilities in Expert Systems: Remarks and Algorithms.- A Hyperstructure of Conditional Events for Artificial Intelligence.- Possibilistic Logic and Plausible Inference.- Probability Logic as a Fuzzy Logic.- Algorithms for Precise and Imprecise Conditional Probability Assessments.- A Valuation-Based Architecture for Assumption-Based Reasoning.- Computing Symbolic Support Functions by Classical Theorem-Proving Techniques.- Inconsistent Knowledge Integration in a Probabilistic Model.- Conditional and Comparative Probabilities in Artificial Intelligence.- Roundtable.- Panel Discussion.- List of Participants to the Workshop.mehr

Autor