Ben Goertzel

(Author)

Real-World Reasoning: Toward Scalable, Uncertain Spatiotemporal, Contextual and Causal Inference (2011)Paperback - 2011, 1 March 2014

Real-World Reasoning: Toward Scalable, Uncertain Spatiotemporal, Contextual and Causal Inference (2011)
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Part of Series
Atlantis Thinking Machines
Print Length
269 pages
Language
English
Publisher
Atlantis Press
Date Published
1 Mar 2014
ISBN-10
9462390533
ISBN-13
9789462390539

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.

Product Details

Authors:
Ben GoertzelNil GeisweillerLucio CoelhoPredrag JaničicCassio Pennachin
Book Edition:
2011
Book Format:
Paperback
Country of Origin:
NL
Date Published:
1 March 2014
Dimensions:
23.39 x 15.6 x 1.5 cm
ISBN-10:
9462390533
ISBN-13:
9789462390539
Language:
English
Location:
Paris
Pages:
269
Publisher:
Weight:
394.63 gm

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