Intensional First-Order Logic: From AI to New SQL Big Data
English
By (author): Christopher M Schnaubelt Ellen M Pint Jaime L Hastings Michael G Shanley Pablo Casado Penelope Speed Stephen Dalzell Zoran Majkic Ángel Ruiz Cediel
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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