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Real-World Reasoning: Toward Scalable, Uncertain Spatiotemporal, Contextual and Causal Inference
The general problem addressed in this book is a large and important one: how to usefully deal with huge storehouses of complex information about real-world situations. Every one of the major modes of interacting with such storehouses - querying, data mining, data analysis - is addressed by current t...
| Clasificación: | Libro Electrónico |
|---|---|
| Autores principales: | , , , , |
| Autor Corporativo: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Paris :
Atlantis Press : Imprint: Atlantis Press,
2011.
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| Edición: | 1st ed. 2011. |
| Colección: | Atlantis Thinking Machines,
2 |
| Temas: | |
| Acceso en línea: | Texto Completo |
Tabla de Contenidos:
- Introduction
- Knowledge Representation Using Formal Logic
- Quantifying and Managing Uncertainty
- Representing Temporal Knowledge
- Temporal Reasoning
- Representing and Reasoning On Spatial Knowledge
- Representing and Reasoning on Contextual Knowledge
- Causal Reasoning
- Extracting Logical Knowledge from Raw Data
- Scalable Spatiotemporal Logical Knowledge Storage
- Mining Patterns from Large Spatiotemporal Logical Knowledge Stores
- Probabilistic Logic Networks
- Temporal and Contextual Reasoning in PLN
- Inferring the Causes of Observed Changes.-Adaptive Inference Control.