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Probabilistic Logic Networks: A Comprehensive Framework for Uncertain Inference

Ben Goertzel, Matthew Iklé, Izabela Freire Goertzel, Ari Heljakka




[PDF.kd82] Probabilistic Logic Networks: A Comprehensive Framework for Uncertain Inference

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 | #8744875 in Books |  2010-12-10 |  2010-12-10 | Original language:English | PDF # 1 |  9.25 x.78 x6.10l,1.06 | File type: PDF | 336 pages

||From the Back Cover||This book describes Probabilistic Logic Networks (PLN), a novel conceptual, mathematical and computational approach to uncertain inference. Going beyond prior probabilistic approaches to uncertain inference, PLN encompasses such ideas as ind

Abstract In this chapter we provide an overview of probabilistic logic networks (PLN), including our motivations for developing PLN and the guiding principles underlying PLN. We discuss foundational choices we made, introduce PLN knowledge representation, and briefly introduce inference rules and truth-values. We also place PLN in context with other approaches to uncertain inference. 1.1 Motivations This book presents Probabilistic Logic Networks (PLN), a systematic and ...

You can specify the type of files you want, for your device.Probabilistic Logic Networks: A Comprehensive Framework for Uncertain Inference   |  Ben Goertzel, Matthew Iklé, Izabela Freire Goertzel, Ari Heljakka. I really enjoyed this book and have already told so many people about it!

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