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IPMU'92 - Advanced Methods in...
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IPMU'92 - Advanced Methods in Artificial Intelligence 4th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, Palma de Mallorca, Spain, July 6-10, 1992. Proceedings / edited by Bernadette Bouchon-Meunier, Llorenc Valverde, Ronald R. Yager.
Saved in:
Bibliographic Details
Corporate Author:
SpringerLink (Online service)
Other Authors:
Bouchon-Meunier, Bernadette
(Editor)
,
Valverde, Llorenc
(Editor)
,
Yager, Ronald R.
(Editor)
Format:
eBook
Language:
English
Published:
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
1993.
Edition:
1st ed. 1993.
Series:
Lecture Notes in Computer Science,
682
Springer eBook Collection.
Subjects:
Artificial intelligence.
Computers.
Application software.
Electronic resources (E-books)
Online Access:
Click to view e-book
Holy Cross Note:
Loaded electronically.
Electronic access restricted to members of the Holy Cross Community.
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Description
Table of Contents
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Table of Contents:
Possibilistic abduction
Management of preferences in assumption-based reasoning
Default exclusion in a KL-ONE-like terminological component
Unifying various approaches to default logic
Using maximum entropy in a defeasible logic with probabilistic semantics
Legality in inheritance networks
A note on information systems associated to termal algebras
A backward chaining resolution process involving non-monotonic operators
On fuzzy conditionals generalising the material conditional
Integrating resolution—like procedures with Lukasiewicz implication
The development of a “Logic of Argumentation”
From “and” to “or”
Representing spatial and temporal uncertainty
An analysis of the temporal relations of intervals in relativistic space-time
Accumulation and inference over finite-generated algebras for mapping approximations
Similarity measures for case-based reasoning systems
Statistical methods in learning
Learning from erroneous examples using fuzzy logic and “textbook” knowledge
Incremental learning of roughly represented concepts
Self-organizing qualitative multimodel control
MoHA, an hybrid learning model
A new perspective in the inductive acquisition of knowledge from examples
Knowledge representation through object in the development of expert system chemical synthesis and reaction
Hierarchical representation of fuzzy if-then rules
Approximate reasoning in expert systems: Inference and combination tools
Modes of interval-based plausible reasoning viewed via the checklist paradigm
Rule-based systems with unreliable conditions
Fuzzy semantics in expert process control
Qualitative operators and process engineer semantics of uncertainty
Facing uncertainty in the management of large irrigation systems: Qualitative approach
Semantic ambiguity in expert systems: The case of deterministic systems
A deduction rule for the approximated knowledge of a mapping
On knowledge base redundancy under uncertain reasoning
A fuzzy logic approach for sensor validation in real time expert systems
Application of Neuro-Fuzzy Networks to the identification and control of nonlinear dynamical systems
Comparison between artificial neural networks and classical statistical methods in pattern recognition
Learning methods for odor recognition modeling.
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