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

Name: Real-World Reasoning: Toward Scalable, Uncertain Spatiotemporal, Contextual and Causal Inference
SKU: 22283221
Price: 313.00 NZD
Availability: InStock

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Paperback / softback

Series:

Atlantis Thinking Machines

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Description

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 technologies only in very limited and unsatisfactory ways. The impact of a solution to this problem would be huge and pervasive, as the domains of human pursuit to which such storehouses are acutely relevant is numerous and rapidly growing. Finally, we give a more detailed treatment of one potential solution with this class, based on our prior work with the Probabilistic Logic Networks (PLN) formalism. We show how PLN can be used to carry out realworld reasoning, by means of a number of practical examples of reasoning regarding human activities inreal-world situations.

Release date NZ

March 1st, 2014

Author

Audience

Professional & Vocational

Illustrations

1 Illustrations, color; 58 Illustrations, black and white; IX, 269 p. 59 illus., 1 illus. in color.

Pages

269

Series

Atlantis Thinking Machines

Dimensions

155x235x15

ISBN-13

9789462390539

Product ID

22283221

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