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Probabilistic Logic Networks : A Comprehensive Framework for Uncertain Inference - Ben Goertzel
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Ben Goertzel:

Probabilistic Logic Networks : A Comprehensive Framework for Uncertain Inference - new book

ISBN: 9780387768724

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 fo… More...

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Probabilistic Logic Networks - Izabela Freire Goertzel/ Ari Heljakka/ Matthew Iklé/ Ben Goertzel
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Izabela Freire Goertzel/ Ari Heljakka/ Matthew Iklé/ Ben Goertzel:

Probabilistic Logic Networks - new book

ISBN: 9780387768724

*Probabilistic Logic Networks* - A Comprehensive Framework for Uncertain Inference / pdf eBook für 149.99 € / Aus dem Bereich: eBooks, Sachthemen & Ratgeber, Computer & Internet Medien > … More...

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Probabilistic Logic Networks - Izabela Freire Goertzel/ Ari Heljakka/ Matthew Iklé/ Ben Goertzel
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Izabela Freire Goertzel/ Ari Heljakka/ Matthew Iklé/ Ben Goertzel:
Probabilistic Logic Networks - new book

ISBN: 9780387768724

Probabilistic Logic Networks - A Comprehensive Framework for Uncertain Inference: ab 149.99 € eBooks > Sachthemen & Ratgeber > Computer & Internet Springer-Verlag GmbH eBook als pdf, Spri… More...

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Probabilistic Logic Networks - Ben Goertzel; Izabela Freire Goertzel; Ari Heljakka; Matthew Ikle
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Ben Goertzel; Izabela Freire Goertzel; Ari Heljakka; Matthew Ikle:
Probabilistic Logic Networks - new book

2008, ISBN: 9780387768724

A Comprehensive Framework for Uncertain Inference, eBooks, eBook Download (PDF), 2009, [PU: Springer US], Springer US, 2008

Shipping costs:Download sofort lieferbar. (EUR 0.00)
5
Probabilistic Logic Networks - Ben Goertzel; Matthew Iklé; Izabela Freire Goertzel; Ari Heljakka
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€ 213.99
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Ben Goertzel; Matthew Iklé; Izabela Freire Goertzel; Ari Heljakka:
Probabilistic Logic Networks - new book

2008, ISBN: 9780387768724

A Comprehensive Framework for Uncertain Inference, eBooks, eBook Download (PDF), 2009, [PU: Springer US], Springer US, 2008

Shipping costs:Download sofort lieferbar. (EUR 0.00)

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Details of the book - Probabilistic Logic Networks


EAN (ISBN-13): 9780387768724
Publishing year: 2008
Publisher: Springer-Verlag GmbH
336 Pages
Language: eng/Englisch

Book in our database since 2008-02-18T07:38:10-05:00 (New York)
Detail page last modified on 2023-10-25T18:22:23-04:00 (New York)
ISBN/EAN: 9780387768724

ISBN - alternate spelling:
978-0-387-76872-4
Alternate spelling and related search-keywords:
Book author: freire, goer, goertz, karin, ikle, ari ben menashe


Information from Publisher

Author: Ben Goertzel; Matthew Iklé; Izabela Freire Goertzel; Ari Heljakka
Title: Probabilistic Logic Networks - A Comprehensive Framework for Uncertain Inference
Publisher: Springer; Springer US
336 Pages
Publishing year: 2008-12-16
New York; NY; US
Language: English
149,79 € (DE)
154,00 € (AT)
177,00 CHF (CH)
Available
VIII, 336 p.

EA; E107; eBook; Nonbooks, PBS / Informatik, EDV/Informatik; Künstliche Intelligenz; Verstehen; Fuzzy; experiential semantics; first-order extensional inference; higher-order extensional inference; intensional inference; knowledge representation; large-scale inference; logic; probabilistic logic networks; semantics; temporal and causal inference; uncertainty; B; Artificial Intelligence; Mathematical Applications in Computer Science; Computer Science; Theoretische Informatik; BC

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.
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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