Real-World Reasoning: Toward Scalable, Uncertain Spatiotemporal, Contextual and Causal Inference

by Ben Goertzel, Nil Geisweiller, Lucio Coelho, et al.

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Book Overview

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.

Format:Paperback

Language:English

ISBN:9462390533

ISBN13:9789462390539

Release Date:March 2014

Publisher:Atlantis Press

Length:269 Pages

Weight:0.87 lbs.

Dimensions:0.6" x 6.1" x 9.2"

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Real-World Reasoning: Toward Scalable, Uncertain Spatiotemporal, Contextual and Causal Inference

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