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2008, ISBN: 0387768718

[EAN: 9780387768717], Neubuch, [PU: Springer US], FUZZY LOGIK - SET SCHLUSS (LOGISCH) WAHRSCHEINLICHKEIT WAHRSCHEINLICHKEITSTHEORIE EXPERIENTIALSEMANTICS FIRST-ORDEREXTENSIONALINFERENCE H… Altro …

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Goertzel, Ben; Heljakka, Ari; Goertzel, Izabela Freire; Iklé, Matthew:

Probabilistic Logic Networks A Comprehensive Framework for Uncertain Inference - Prima edizione

2008, ISBN: 0387768718

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1st Edition.2nd Printing. 2008 Gebundene Ausgabe Fuzzy Logik - Fuzzy Set, Schluss (logisch), Wahrscheinlichkeit - Wahrscheinlichkeitstheorie, Künstliche Intelligenz, fuzzy; experiential… Altro …

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Goertzel, Ben; Heljakka, Ari; Goertzel, Izabela Freire; Iklé, Matthew:
Probabilistic Logic Networks A Comprehensive Framework for Uncertain Inference - Prima edizione

2008

ISBN: 0387768718

edizione con copertina rigida

1st Edition.2nd Printing. 2008 Gebundene Ausgabe Fuzzy Logik - Fuzzy Set, Schluss (logisch), Wahrscheinlichkeit - Wahrscheinlichkeitstheorie, Künstliche Intelligenz, fuzzy; experiential… Altro …

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Ben Goertzel; Matthew Iklé; Izabela Freire Goertzel; Ari Heljakka:
Probabilistic Logic Networks - copertina rigida, flessible

2008, ISBN: 9780387768717

A Comprehensive Framework for Uncertain Inference, Buch, Hardcover, 1st Edition. 2nd Printing. 2008, [PU: Springer-Verlag New York Inc.], Springer-Verlag New York Inc., 2008

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Ben Goertzel, Matthew Iklà , Izabela Freire Goertzel, Ari Heljakka:
Probabilistic Logic Networks: A Comprehensive Framework for Uncertain Inference - copertina rigida, flessible

2008, ISBN: 0387768718

[EAN: 9780387768717], Neubuch, [PU: Springer], Clean and crisp and new!, Books

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Dettagli del libro
Probabilistic Logic Networks
Autore:
Titolo:
ISBN:

0387768718


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.

Informazioni dettagliate del libro - Probabilistic Logic Networks


EAN (ISBN-13): 9780387768717
ISBN (ISBN-10): 0387768718
Copertina rigida
Copertina flessibile
Anno di pubblicazione: 2008
Editore: Springer-Verlag New York Inc.
333 Pagine
Peso: 0,590 kg
Lingua: eng/Englisch

Libro nella banca dati dal 2007-11-02T14:05:09+01:00 (Zurich)
Pagina di dettaglio ultima modifica in 2024-04-16T22:10:53+02:00 (Zurich)
ISBN/EAN: 0387768718

ISBN - Stili di scrittura alternativi:
0-387-76871-8, 978-0-387-76871-7
Stili di scrittura alternativi e concetti di ricerca simili:
Autore del libro : ben goertzel, freire, goertz, ikle, ari ben menashe
Titolo del libro: probabilistic, uncertain inference, logic, framework, ben

Dati dell'editore

Autore: Ben Goertzel; Matthew Iklé; Izabela Freire Goertzel; Ari Heljakka
Titolo: Probabilistic Logic Networks - A Comprehensive Framework for Uncertain Inference
Editore: Springer; Springer US
336 Pagine
Anno di pubblicazione: 2008-11-11
New York; NY; US
Lingua: Inglese
160,49 € (DE)
164,99 € (AT)
177,00 CHF (CH)
Available
VIII, 336 p.

BB; Hardcover, Softcover / 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; Artificial Intelligence; Mathematical Applications in 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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