Noch Fragen? 0800 / 33 82 637

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

Produktform: Buch / Einband - fest (Hardcover)

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.weiterlesen

Dieser Artikel gehört zu den folgenden Serien

Sprache(n): Englisch

ISBN: 978- / 978-9491216107 / 9789491216107

Verlag: Atlantis Press

Erscheinungsdatum: 07.12.2011

Seiten: 269

Auflage: 1

Zielgruppe: Graduate

Autor(en): Ben Goertzel, Cassio Pennachin, Nil Geisweiller, Lucio Coelho, Predrag Janičić

117,69 € inkl. MwSt.
kostenloser Versand

lieferbar - Lieferzeit 10-15 Werktage

zurück