Probabilistic Logic Networks: A Comprehensive Framework for Uncertain Inference (Google eBook)

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Springer Science & Business Media, Dec 16, 2008 - Computers - 344 pages
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This book describes Probabilistic Logic Networks (PLN), a novel conceptual, mathematical and computational approach to uncertain inference. In order to carry out effective reasoning in real-world circumstances, AI software must robustly handle uncertainty. However, previous approaches to uncertain inference do not have the breadth of scope required to provide an integrated treatment of the disparate forms of cognitively critical uncertainty as they manifest themselves within the various forms of pragmatic inference. Going beyond prior probabilistic approaches to uncertain inference, PLN is able to encompass within uncertain logic such ideas as induction, abduction, analogy, fuzziness and speculation, and reasoning about time and causality. The book reviews the conceptual and mathematical foundations of PLN, giving the specific algebra involved in each type of inference encompassed within PLN. Inference control and the integration of inference with other cognitive faculties are also briefly discussed.
  

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Contents

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About the author (2008)

The chief editor of the book, Dr. Ben Goertzel, has published 4 research treatises in AI, cognitive science and systems theory, a biography of Linus Pauling, and one previous edited volume (in the area of dynamical psychology), as well as numerous research papers (for his CV, see www.goertzel.org/ben/newResume.htm).

Dr. Ben Goertzel has been involved in AI research and application development since the late 1980a (TM)s. He holds a PhD in mathematics from Temple University, and over the period 1989-1997 he held several university faculty positions in mathematics, computer science, and psychology, in the US, New Zealand and Australia.

Dr. Goertzel is author of numerous research papers and journalistic articles, a biography of Linus Pauling, and five scholarly books dealing with topics in the cognitive sciences, including Chaotic Logic (Plenum Press, 1994), and Creating Internet Intelligence (Plenum Press, 2001).

Currently, as CEO of the software firms Biomind LLC and Novamente LLC, he is leading a team of AI researchers in the development and commercialization of Artificial General Intelligence technology.

Cassio Pennachin has been leading software development projects since the mid-1990's, in artificial intelligence, bioinformatics, operations research and other areas. Prior to taking on his current role as CTO of Novamente LLC and Biomind LLC, he served as founder and CEO of Vetta Technologies, a Brazil-based software consulting firm, and he led a team developing mass spectrometry data analysis software for Proteometrics. From 1998-2001 Cassio was the former VP of R&D at Webmind Inc., leading several projects in AI, data mining and information retrieval.

Ben andCassio are the chief architects of the Novamente AI Engine, one of the AGI projects described in the book.

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