Probabilistic Logic Networks: A Comprehensive Framework for Uncertain Inference by Ben Goertzel, Matthew Ikle, Izabela Freire Goertzel and Ari Heljakka
Requirements: PDF Reader, 5.2 MB
Overview: 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 induction, abduction, analogy, fuzziness and speculation, and reasoning about time and causality. The book provides an overview of PLN in the context of other approaches to uncertain inference.
Download Instructions:
http://hotfile.com/dl/14304817/c5241ac/PLN_08.rar.html
Requirements: PDF Reader, 5.2 MB
Overview: 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 induction, abduction, analogy, fuzziness and speculation, and reasoning about time and causality. The book provides an overview of PLN in the context of other approaches to uncertain inference.
Download Instructions:
http://hotfile.com/dl/14304817/c5241ac/PLN_08.rar.html