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Probabilistic Logic Networks A Comprehensive Framework for Uncertain Inference /
This book describes Probabilistic Logic Networks (PLN), a novel conceptual, mathematical and computational approach to uncertain inference. Going beyond prior probabilistic approaches to uncertain inference, PLN encompasses such ideas as induction, abduction, analogy, fuzziness and speculation, and...
| Clasificación: | Libro Electrónico |
|---|---|
| Autores principales: | , , , |
| Autor Corporativo: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
New York, NY :
Springer US : Imprint: Springer,
2009.
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| Edición: | 1st ed. 2009. |
| Temas: | |
| Acceso en línea: | Texto Completo |
Tabla de Contenidos:
- Knowledge Representation
- Experiential Semantics
- Indefinite Truth Values
- First-Order Extensional Inference: Rules and Strength Formulas
- First-Order Extensional Inference with Indefinite Truth Values
- First-Order Extensional Inference with Distributional Truth Values
- Error Magnification in Inference Formulas
- Large-Scale Inference Strategies
- Higher-Order Extensional Inference
- Handling Crisp and Fuzzy Quantifiers with Indefinite Truth Values
- Intensional Inference
- Aspects of Inference Control
- Temporal and Causal Inference.