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Atlantis Press

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

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Product Code: 9789462390539
ISBN13: 9789462390539
Condition: New
$127.25
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.


Author: Ben Goertzel, Nil Geisweiller, Lucio Coelho, Predrag Janicic, Cassio Pennachin
Publisher: Atlantis Press
Publication Date: Mar 01, 2014
Number of Pages: NA pages
Language: English
Binding: Paperback
ISBN-10: 9462390533
ISBN-13: 9789462390539

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

$127.25
 
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.


Author: Ben Goertzel, Nil Geisweiller, Lucio Coelho, Predrag Janicic, Cassio Pennachin
Publisher: Atlantis Press
Publication Date: Mar 01, 2014
Number of Pages: NA pages
Language: English
Binding: Paperback
ISBN-10: 9462390533
ISBN-13: 9789462390539
 

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