Mathematical Models for Handling Partial Knowledge in Artificial Intelligence
Editat de Giulianella Coletti, Didier Dubois, R. Scozzafavaen Limba Engleză Hardback – 31 aug 1995
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Specificații
ISBN-13: 9780306450761
ISBN-10: 0306450763
Pagini: 308
Ilustrații: IX, 308 p. 3 illus.
Dimensiuni: 178 x 254 x 19 mm
Greutate: 0.79 kg
Ediția:1995
Editura: Springer Us
Colecția Springer
Locul publicării:New York, NY, United States
ISBN-10: 0306450763
Pagini: 308
Ilustrații: IX, 308 p. 3 illus.
Dimensiuni: 178 x 254 x 19 mm
Greutate: 0.79 kg
Ediția:1995
Editura: Springer Us
Colecția Springer
Locul publicării:New York, NY, United States
Public țintă
ResearchCuprins
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.