Probabilistic Logic Networks

A Comprehensive Framework for Uncertain Inference

Authors: Goertzel, B., Iklé, M., Goertzel, I.F., Heljakka, A.

  • Provides a comprehensive framework for uncertain reasoning, integrating probability theory, predicate and term logic, and pattern theory
  • Considers a broad scope of reasoning types
  • Fuses rigorous mathematics with practical computation to describe methods designed for large-scale and, in many cases, real-time inference within commercial software systems
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eBook 130,89 €
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  • ISBN 978-0-387-76872-4
  • Digitally watermarked, DRM-free
  • Included format: PDF
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  • Immediate eBook download after purchase
Hardcover 161,19 €
price for Spain (gross)
  • ISBN 978-0-387-76871-7
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
Softcover 161,19 €
price for Spain (gross)
  • ISBN 978-1-4419-4578-5
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
About this book

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. Topics addressed in the text include:

    • the basic formalism of PLN knowledge representation
    • the conceptual interpretation of the terms used in PLN
    • an indefinite probability approach to quantifying uncertainty, providing a general method for calculating the "weight-of-evidence" underlying the conclusions of uncertain inference
    • specific PLN inference rules and the corresponding truth-value formulas used to determine the strength of the conclusion of an inference rule from the strengths of the premises
    • large-scale inference strategies
    • inference using variables
    • indefinite probabilities involving quantifiers
    • inheritance based on properties or patterns
    • the Novamente Cognition Engine, an application of PLN
    • temporal and causal logic in PLN

Researchers and graduate students in artificial intelligence, computer science, mathematics and cognitive sciences will find this novel perspective on uncertain inference a thought-provoking integration of ideas from a variety of other lines of inquiry.

Table of contents (14 chapters)

  • Introduction

    Goertzel, Ben (et al.)

    Pages 1-21

    Preview Buy Chapter 30,19 €
  • Knowledge Representation

    Goertzel, Ben (et al.)

    Pages 1-17

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  • Experiential Semantics

    Goertzel, Ben (et al.)

    Pages 1-7

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  • Indefinite Truth Values

    Goertzel, Ben (et al.)

    Pages 1-14

    Preview Buy Chapter 30,19 €
  • First-Order Extensional Inference: Rules and Strength Formulas

    Goertzel, Ben (et al.)

    Pages 1-67

    Preview Buy Chapter 30,19 €

Buy this book

eBook 130,89 €
price for Spain (gross)
  • ISBN 978-0-387-76872-4
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover 161,19 €
price for Spain (gross)
  • ISBN 978-0-387-76871-7
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
Softcover 161,19 €
price for Spain (gross)
  • ISBN 978-1-4419-4578-5
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
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Bibliographic Information

Bibliographic Information
Book Title
Probabilistic Logic Networks
Book Subtitle
A Comprehensive Framework for Uncertain Inference
Authors
Copyright
2009
Publisher
Springer US
Copyright Holder
Springer-Verlag US
eBook ISBN
978-0-387-76872-4
DOI
10.1007/978-0-387-76872-4
Hardcover ISBN
978-0-387-76871-7
Softcover ISBN
978-1-4419-4578-5
Edition Number
1
Number of Pages
VIII, 336
Topics