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Mathematical Models for Handling Partial Knowledge in Artificial Intelligence Book

Mathematical Models for Handling Partial Knowledge in Artificial Intelligence
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  • Mathematical Models for Handling Partial Knowledge in Artificial Intelligence
  • Written by author G. Coletti
  • Published by Springer-Verlag New York, LLC, February 2008
Buy Digital  USD$206.40

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Book Categories

Authors

Ellsberg Paradox Intuition and Choquet Expected Utility1
Fuzzy Logic as Logic21
Mathematical Foundations of Evidence Theory31
Semantics for Uncertain Inference Based on Statistical Knowledge65
Prospects and Problems in Applying the Fundamental Theorem of Prevision as an Expert System: An Example of Learning about Parole Decisions83
Coherent Prevision as a Linear Functional without an Underlying Measure Space: The Purely Arithmetic Structure of Logical Relations among Conditional Quantities101
Revision Rules for Convex Sets of Probabilities113
Some Mathematical Tools for Decision Making under Partial Knowledge129
From Bayesian Networks to Causal Networks157
Generalized Concept of Atoms for Conditional Events183
Checking the Coherence of Conditional Probabilities in Expert Systems: Remarks and Algorithms191
A Hyperstructure of Conditional Events for Artificial Intelligence201
Possibilistic Logic and Plausible Inference209
Probability Logic as a Fuzzy Logic229
Algorithms for Precise and Imprecise Conditional Probability Assessments231
A Valuation-Based Architecture for Assumption-Based Reasoning255
Computing Symbolic Support Functions by Classical Theorem-Proving Techniques259
Inconsistent Knowledge Integration in a Probabilistic Model263
Conditional and Comparative Probabilities in Artificial Intelligence271
Panel Discussion281
List of Participants to the Workshop303
Index307


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