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Formalization, as a book category, collects works that focus on the transformation of informal ideas, practices, or domains into precise, machine- or proof-checkable form: rigorous definitions, formal languages and grammars, logical systems, mathematical proofs, type theories, ontologies, and methods for encoding knowledge or software behavior. It includes textbooks and handbooks on formal logic, proof assistants and automated theorem proving, formal methods for software and hardware verification, ontology engineering and knowledge representation, and the philosophy and methodology of formalization itself. These books range from practical tutorials and tool-specific guides to theoretical treatments of foundations and case studies showing how informal concepts are made unambiguous and verifiable. Intended for mathematicians, computer scientists, philosophers, engineers, and advanced students, the category emphasizes precision, reproducibility, and the techniques and trade-offs involved in modeling real-world or conceptual systems with formal apparatus, often intersecting with topics in semantics, verification, and formal epistemology.

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