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

Goertzel, Ben; Geisweiller, Nil; Coelho, Lucio; Janičić, Predrag; Pennachin, Cassio

 
9789462390539: Real-World Reasoning: Toward Scalable, Uncertain Spatiotemporal, Contextual and Causal Inference

Synopsis

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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Autres éditions populaires du même titre

9789491216107: Real-World Reasoning: Toward Scalable, Uncertain Spatiotemporal, Contextual and Causal Inference

Edition présentée

ISBN 10 :  9491216104 ISBN 13 :  9789491216107
Editeur : Atlantis Press (Zeger Karssen), 2011
Couverture rigide