Mathematical Models for Handling Partial Knowledge in Artificial Intelligence by Giulianella ColettiMathematical Models for Handling Partial Knowledge in Artificial Intelligence by Giulianella Coletti

Mathematical Models for Handling Partial Knowledge in Artificial Intelligence

EditorGiulianella Coletti

Hardcover | August 31, 1995

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The June 1994 workshop was held in the framework of the International School of Mathematics "G. Stampacchia." This volume includes nine invited and ten contributed papers presented at the workshop, as well as the transcript of a roundtable. Among the topics of invited papers are Choquet expected utility models, the logic of fuzzy logic, the mathematical foundations of evidence theory, prospects and problems in applying the fundamental theorem of prevision as an expert system, and revision rules for convex sets of probabilities. Annotation c. by Book News, Inc., Portland, Or.
Title:Mathematical Models for Handling Partial Knowledge in Artificial IntelligenceFormat:HardcoverDimensions:317 pages, 10 × 7.01 × 0.03 inPublished:August 31, 1995Publisher:Springer US

The following ISBNs are associated with this title:

ISBN - 10:0306450763

ISBN - 13:9780306450761

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Table of Contents

Invited Papers: Ellsberg Paradox Intuition and Choquet Expected Utility (A. Chateauneuf). Fuzzy Logic as Logic (P. Hájek). Mathematical Foundations of Evidence Theory (J. Kohlas). Semantics for Uncertain Inference Based on Statistical Knowledge (H.E. Kyburg). Prospects and Problems in Applying the Fundamental Theorem of Prevision as an Expert System: An Example of Learning about Parole Decisions (F. Lad, I. Coope). Coherent Prevision as a Linear Functional without an Underlying Measure Space: The Purely Arithmetic Structure of Logical Relations among Conditional Quantities (F. Lad). Revision Rules for Convex Sets of Probabilities (S. Moral, N. Wilson). Contributed Papers: Generalized Concept of Atoms for Conditional Events (A. Capotorti). Checking the Coherence of Conditional Probabilities in Expert Systems: Remarks and Algorithms (G. Di Biase, A. Maturo). A Hyperstructure of Conditional Events for Artificial Intelligence (S. Doria, A. Maturo). Possibilistic Logic and Plausible Inference (D. Dubois, H. Prade). Probability Logic as a Fuzzy Logic (G. Gerla). Algorithms for Precise and Imprecise Conditional Probability Assessments (A. Gilio). A Valuationbased Architecture for Assumptionbased Reasoning (R. Haenni). 6 additional articles. Index.