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

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Springer Science & Business Media, Dec 16, 2008 - Computers - 336 pages
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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 pragmatic framework for computationally carrying out uncertain reasoning – r- soning about uncertain data, and/or reasoning involving uncertain conclusions. We begin with a few comments about why we believe this is such an interesting and important domain of investigation. First of all, we hold to a philosophical perspective in which “reasoning” – properly understood – plays a central role in cognitive activity. We realize that other perspectives exist; in particular, logical reasoning is sometimes construed as a special kind of cognition that humans carry out only occasionally, as a deviation from their usual (intuitive, emotional, pragmatic, sensorimotor, etc.) modes of thought. However, we consider this alternative view to be valid only according to a very limited definition of “logic.” Construed properly, we suggest, logical reasoning may be understood as the basic framework underlying all forms of cognition, including those conventionally thought of as illogical and irrational.
  

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Contents

Ch01pdf
1
Ch02pdf
22
Ch03pdf
41
Ch04pdf
48
Ch05pdf
63
Ch06pdf
131
Ch07pdf
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Ch08pdf
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Ch09pdf
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Ch10pdf
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Ch11pdf
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Ch12pdf
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Ch13pdf
265
Ch14pdf
278
BMpdf
307
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About the author (2008)

Dr. Ben Goertzel is a long-time leading researcher in the field of Artificial General Intelligence, and has also been prominent in the futurist and transhumanist communities, writing and speaking frequently about the long-term implications of AGI technology. He currently resides in Hong Kong with his AI-researcher wife Ruiting Lian, serving as Chief Scientist of financial prediction firm Aidyia Holdings and participating in the OpenCog AGI/robotics project at Hong Kong Poly U. Holding a PhD in mathematics, Dr. Goertzel has published over a dozen books and 100+ research papers on AI, longevity biology and other areas of science, and is the founder of the AGI conference series, and Vice Chairman of Humanity+.

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