Real-World Reasoning: Toward Scalable, Uncertain Spatiotemporal, Contextual and Causal Inference (Paperback, 2011 ed.)

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.

General

Imprint:	Atlantis Press (Zeger Karssen)
Country of origin:	Netherlands
Series:	Atlantis Thinking Machines, 2
Release date:	March 2014
First published:	2011
Authors:	Ben Goertzel • Nil Geisweiller • Lucio Coelho • Predrag Janicic • Cassio Pennachin
Dimensions:	235 x 155 x 15mm (L x W x T)
Format:	Paperback
Pages:	269
Edition:	2011 ed.
ISBN-13:	978-9462390539
Categories:	Books > Computing & IT > General theory of computing > General Books > Computing & IT > Social & legal aspects of computing > Human-computer interaction Books > Computing & IT > Applications of computing > Artificial intelligence > General
LSN:	9462390533
Barcode:	9789462390539

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