£131.00

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£131 today · all-time low £131 (Jul 2026) · usually the usual

Springer Logics for Computer and Data Sciences and AI 992

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Description

This Springer volume provides a systematic account of logic branches used in computer science, data science, and artificial intelligence. The text covers essential frameworks including propositional, predicate, modal, epistemic, dynamic, and temporal logics. Readers can explore specialized applications such as many-valued logics and rough logics of concepts used in data science. Beyond foundational logic, the book examines second-order logics and approximate logics of parts. To support technical study, the volume includes detailed appendices covering set theory, algebraic structures, computability, and complexity. It also provides essential information on MV-algebras, transition systems, automata, and formal grammars, making it a comprehensive resource for the Studies in Computational Intelligence series.

Key Features

This Springer book covers various logic branches including propositional, predicate, modal, epistemic, dynamic, and temporal logics.

The text includes many-valued logics and rough logics of concepts specifically for applications in data science.

Readers can study second-order logics and approximate logics of parts within this volume.

Comprehensive appendices provide information on set theory, algebraic structures, computability, and complexity.

Technical content includes detailed sections on MV-algebras, transition systems, automata, and formal grammars.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
19 December 2022
Listed Since
23 November 2022

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No barcode data available

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