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Bücher Englische Bücher Wissen & Bildung Naturwissenschaft, Medizin, Informatik, Technik Informatik & EDV Informatik Probabilistic Logic Networks
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Probabilistic Logic Networks
Izabela Freire Goertzel (Gebundene Ausgabe, Englisch)
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Beschreibung
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. Dieses Produkt haben wir gerade leider nicht auf Lager.
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Technische Daten
Erscheinungsdatum
11.11.2008
Sprache
Englisch
EAN
9780387768717
Herausgeber
Springer US
Sonderedition
Nein
Autor
Izabela Freire Goertzel
Seitenanzahl
336
Einbandart
Gebundene Ausgabe
Buch Untertitel
A Comprehensive Framework for Uncertain Inference
Schlagwörter
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
Thema-Inhalt
UYQ - Künstliche Intelligenz
UYA - Theoretische Informatik
Höhe
235 mm
Breite
15.5 cm
Hersteller: Humana, Europaplatz 3, Heidelberg, Deutschland, 69115, ProductSafety@springernature.com, Springer Nature Customer Service Center GmbH
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