Applications of Uncertainty Formalisms
An introductory review of uncertainty formalisms by the volume editors begins the volume. The first main part of the book introduces some of the general problems dealt with in research. The second part is devoted to case studies; each presentation in this category has a well-delineated application p...
| Συγγραφή απο Οργανισμό/Αρχή: | |
|---|---|
| Άλλοι συγγραφείς: | , |
| Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
| Γλώσσα: | English |
| Έκδοση: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
1998.
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| Έκδοση: | 1st ed. 1998. |
| Σειρά: | Lecture Notes in Artificial Intelligence ;
1455 |
| Θέματα: | |
| Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- to uncertainty formalisms
- A Review of Uncertainty Handling Formalisms
- Application case studies
- Using Uncertainty Management Techniques in Medical Therapy Planning: a Decision-Theoretic approach
- An Ordinal Approach to the Processing of Fuzzy Queries with Flexible Quantifiers
- Using Uncertainty Techniques in Radio Communication Systems
- Handling imperfect knowledge in Milord II for the identification of marine sponges
- Qualitative risk assessment fulfils a need
- Information Retrieval and Dempster-Shafer's Theory of Evidence
- Uncertainty Measures associated with Fuzzy Rules for Connection Admission Control in ATM Networks
- Handling uncertainty in control of autonomous robots
- Some Problems in Trying to Implement Uncertainty Techniques in Automated Inspection
- Correlation using uncertain and temporal information
- Arguing about beliefs and actions
- Analysis of Multi-Interpretable Ecological Monitoring Information
- Technology for applications
- A local handling of inconsistent knowledge and default bases
- The XRay system: An implementation platform for local query-answering in default logics
- Model-based Diagnosis: A Probabilistic Extension
- Background to and Perspectives on Possibilistic Graphical Models
- How much does an agent believe: an extension of modal epistemic logic
- Safety Logics
- Modeling Uncertainty with Propositional Assumption-Based Systems.
