This foundational document defines Philosophy Engineering, translating philosophical principles into computational norms for autonomous systems.
Philosophy Engineering is the systematic discipline of translating philosophical commitments---epistemic norms, ethical principles, logical consistency requirements---into computationally enforceable constraints on autonomous systems. This document defines the field. Modeled on the IEEE/ACM Software Engineering Body of Knowledge (SWEBOK), it identifies the knowledge areas that constitute Philosophy Engineering's theoretical substrate, computational engine, and normative superstructure. The document specifies three structural tiers: (I)~the tier, comprising the mathematical and physical formalisms---differential geometry, topology, tensor algebra, analytical mechanics, and formal semantics---that provide the representational and dynamical vocabulary; (II)~the tier, comprising algorithm design, search theory, formal verification, network theory, and AI alignment methods that translate formal structures into executable procedures; and (III)~the tier, comprising metaethics, normative ethics, epistemology, philosophy of mind, and political philosophy that define the objectives, constraints, and accountability requirements of autonomous judgment. The two central technical constructs---the Epistemic Invariance Principle (EIP), which mandates that judgment procedures be invariant under meaning-preserving redescriptions, and the Bond Invariance Principle (BIP), which enforces structural accountability in normative domains by separating objective relational structures from subjective evaluative frameworks---are developed in full, with proofs. The document is intended to serve as the foundational reference for researchers, engineers, and policymakers working at the intersection of formal philosophy, mathematics, and AI system design. Author preprint deposited for archival and citation. Draft — pending author review.
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Andrew Bond (2026) studied this question.
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