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...
| Main Authors: | , , , , |
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| Corporate Author: | |
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Paris :
Atlantis Press,
2011.
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| Series: | Atlantis Thinking Machines,
1 |
| Subjects: | |
| Online Access: | Full Text via HEAL-Link |
Table of Contents:
- 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.
