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Qualitative Methods for Reasoning under Uncertainty

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ISBN-10: 0262161680

ISBN-13: 9780262161688

Edition: 2001

Authors: Simon Parsons

List price: $68.00
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Description:

"Uncertainty" represents a wide variety of types of imperfect information. When working with uncertainties the author argues in favour of creating qualitative versions of existing methods and choosing the one that fits best.
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Book details

List price: $68.00
Copyright year: 2001
Publisher: MIT Press
Publication date: 7/27/2001
Binding: Hardcover
Pages: 528
Size: 7.50" wide x 9.25" long x 1.50" tall
Weight: 2.244
Language: English

Preface
Acknowledgments
Introduction
All about uncertainty
Introduction
Taxonomies of uncertainty
Sources of imperfect information
Uncertainty and entropy
Human reasoning under uncertainty
Ground rules for formal systems
Summary
Quantitative methods for reasoning with imperfect information
Introduction
The main models
Other important models
Computational techniques
Quantified logics
Summary
Qualitative methods for reasoning with imperfect information
Introduction
Qualitative physics
Interval-based systems
Abstractions of quantitative systems
Defeasible reasoning
Combining and relating formalisms
Summary
A framework for studying different methods
Introduction
Eclecticism and the integration problem
A general framework
Examples of integration and incompleteness
Summary
Using qualitative algebras
Introduction
An algebra with qualitative values
An algebra of interval values
Other qualitative algebras
An example of handling integration
An example of handling incompleteness
Summary
The theory of qualitative change
Introduction
Basic concepts of qualitative change
Causal reasoning
Evidential reasoning
Handling incompleteness and integration
Summary
Further results in the theory of qualitative change
Synergy
Propagation in multiply-connected networks
Intercausal reasoning
Related work
Summary
Implementing the qualitative approaches
Introduction
Implementing qualitative algebras
Implementing the theory of qualitative change
Summary
Qualitative protein topology prediction
Introduction
Protein topology prediction
A first approach to modelling the uncertainty
A second approach to modeling the uncertainty
Discussion
Summary
Summary and conclusions
Summary
Conclusions
Proofs of theorems
Conditional belief calculations
Glossary
References
Index