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

Author:   Ben Goertzel ,  Nil Geisweiller ,  Lucio Coelho ,  Predrag Janičić
Publisher:   Atlantis Press (Zeger Karssen)
Edition:   2011 ed.
Volume:   2
ISBN:  

9789462390539


Pages:   269
Publication Date:   01 March 2014
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Real-World Reasoning: Toward Scalable, Uncertain Spatiotemporal,  Contextual and Causal Inference


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Overview

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.

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Author:   Ben Goertzel ,  Nil Geisweiller ,  Lucio Coelho ,  Predrag Janičić
Publisher:   Atlantis Press (Zeger Karssen)
Imprint:   Atlantis Press (Zeger Karssen)
Edition:   2011 ed.
Volume:   2
Dimensions:   Width: 15.50cm , Height: 1.50cm , Length: 23.50cm
Weight:   0.433kg
ISBN:  

9789462390539


ISBN 10:   9462390533
Pages:   269
Publication Date:   01 March 2014
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

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