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Mathematical Models for Handling Partial Knowledge in Artificial Intelligence

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Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

30.05.2013

Abbildungen

IX, 308 p. 3 illus.

Herausgeber

Giulianella Coletti + weitere

Verlag

Springer Us

Seitenzahl

308

Maße (L/B/H)

23,5/15,5/1,8 cm

Gewicht

487 g

Auflage

Softcover reprint of the original 1st ed. 1995

Sprache

Englisch

ISBN

978-1-4899-1426-2

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

30.05.2013

Abbildungen

IX, 308 p. 3 illus.

Herausgeber

Verlag

Springer Us

Seitenzahl

308

Maße (L/B/H)

23,5/15,5/1,8 cm

Gewicht

487 g

Auflage

Softcover reprint of the original 1st ed. 1995

Sprache

Englisch

ISBN

978-1-4899-1426-2

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: ProductSafety@springernature.com

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  • Produktbild: Mathematical Models for Handling Partial Knowledge in Artificial Intelligence
  • Produktbild: Mathematical Models for Handling Partial Knowledge in Artificial Intelligence
  • 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.