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Applied Set Theory and Logic

Kuczynski, John-Michael (2025) Applied Set Theory and Logic. [Preprint]

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EXTENDED SET THEORY AND LOGIC WITH APPLICATIONS.pdf

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Abstract

This volume presents a comprehensive introduction to set theory and mathematical logic with a distinctive emphasis on practical application across disciplines such as computer science, electrical engineering, and database systems. Core logical operations—conjunction, disjunction, negation, implication—are defined and explored through real-world examples and truth-table analysis. Foundational theorems like the Law of the Excluded Middle, Non-Contradiction, and Modus Ponens are rigorously examined with formal proofs and applied exercises. The text extends into predicate calculus and advanced set-theoretic constructs, including the Von Neumann ordinal framework and modal logic, illuminating their significance in formal verification, algorithm design, and hardware analysis. Each chapter blends theoretical rigor with accessible explanations and problem-based learning to develop both conceptual understanding and practical reasoning skills. This makes the book an ideal resource for students and professionals seeking to bridge formal logic with computational and engineering domains.


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Item Type: Preprint
Creators:
CreatorsEmailORCID
Kuczynski, John-Michaeljmkuczynski@yahoo.com
Keywords: Set Theory Mathematical Logic Predicate Calculus Truth Tables Modus Ponens Boolean Algebra Modal Logic Von Neumann Ordinals
Subjects: Specific Sciences > Computation/Information > Classical
Specific Sciences > Mathematics > Foundations
Specific Sciences > Mathematics > Logic
Specific Sciences > Computer Science
Depositing User: Dr. John-Michael Kuczynski
Date Deposited: 26 May 2025 17:38
Last Modified: 26 May 2025 17:38
Item ID: 25447
Official URL: https://www.analyticphilosophy.ai/applies-set-theo...
Subjects: Specific Sciences > Computation/Information > Classical
Specific Sciences > Mathematics > Foundations
Specific Sciences > Mathematics > Logic
Specific Sciences > Computer Science
Date: 23 May 2025
URI: https://philsci-archive.pitt.edu/id/eprint/25447

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