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Intensional First-Order Logic
Intensional First-Order Logic
Knygos.lt klubas Knygos.lt nariams
422,78 €
-15%
Įprastai
497,39 €
  • Išsiųsime per 12–18 d.d.
This book introduces the properties of conservative extensions of First Order Logic (FOL) to new Intensional First Order Logic (IFOL). This extension allows for intensional semantics to be used for concepts, thus affording new and more intelligent IT systems. Insofar as it is conservative, it preserves software applications and constitutes a fundamental advance relative to the current RDB databases, Big Data with NewSQL, Constraint databases, P2P systems, and Semantic Web applications. Moreover…
  • Leidėjas:
  • ISBN-10: 3110994941
  • ISBN-13: 9783110994940
  • Formatas: 17 x 24.4 x 3 cm, kieti viršeliai
  • Kalba: Anglų

Intensional First-Order Logic (el. knyga) (skaityta knyga) | knygos.lt

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This book introduces the properties of conservative extensions of First Order Logic (FOL) to new Intensional First Order Logic (IFOL). This extension allows for intensional semantics to be used for concepts, thus affording new and more intelligent IT systems. Insofar as it is conservative, it preserves software applications and constitutes a fundamental advance relative to the current RDB databases, Big Data with NewSQL, Constraint databases, P2P systems, and Semantic Web applications. Moreover, the many-valued version of IFOL can support the AI applications based on many-valued logics.

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  • Autorius: Zoran Majkic
  • Leidėjas:
  • ISBN-10: 3110994941
  • ISBN-13: 9783110994940
  • Formatas: 17 x 24.4 x 3 cm, kieti viršeliai
  • Kalba: Anglų

This book introduces the properties of conservative extensions of First Order Logic (FOL) to new Intensional First Order Logic (IFOL). This extension allows for intensional semantics to be used for concepts, thus affording new and more intelligent IT systems. Insofar as it is conservative, it preserves software applications and constitutes a fundamental advance relative to the current RDB databases, Big Data with NewSQL, Constraint databases, P2P systems, and Semantic Web applications. Moreover, the many-valued version of IFOL can support the AI applications based on many-valued logics.

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