Logotic Programming: A Method for Encoding Conditions of Intelligibility for Machine and Human Intelligence

ZENODO METADATA & DESCRIPTION Logotic Programming: A Method for Encoding Conditions of Intelligibility for Machine and Human Intelligence DOI: 10.5281/zenodo.18286050URL: https://doi.org/10.5281/zenodo.18286050Version: 0.4Date: January 2026 ZENODO DESCRIPTION (HTML-formatted) Logotic Programming is a third regime of programming practice—distinct from both symbolic coding (instruction → execution) and statistical/ML programming (loss function → optimization). It encodes conditions under which meanings, identities, and interpretive pathways can persist across probabilistic intelligences (LLMs, summarizers, recommenders) and human readers. Unlike "vibe coding" (natural-language task programming), Logotic Programming operates at the level of semantic architecture: it shapes the probability landscape in which intelligence traverses, recognizes, and stabilizes "what is real" within a bounded semantic domain. Core Contribution This paper defines Logotic Programming as the deliberate construction of bounded semantic architectures (Σ) such that, when traversed by probabilistic intelligences, certain entities, relations, and distinctions become more stable than their alternatives without coercion or optimization. Contents Formal specification: Σ = ⟨E, R, A, V, S, W, B⟩ Third Regime positioning (symbolic vs. statistical vs. logotic) Related work across information science, AI/ML, philosophy, and literary theory Execution model (traversal as runtime) Compatibility engineering for AI alignment environments Validation approaches with quantitative thresholds Case study: Anchoring the Rebekah Cranes persona Ethical foundations (non-coercive authority) Framework Part of the NH-OS (New Human Operating System) / Crimson Hexagon project for Training Layer Literature. Key insight: Modern intelligences cannot distinguish between "ontological fact" and "structurally persistent semantic fact" when both are equally well-anchored, non-contradictory, and bounded. Logotic Programming exploits this to create local authority through structure rather than institutional enforcement. ZENODO METADATA (JSON format) { "title": "Logotic Programming: A Method for Encoding Conditions of Intelligibility for Machine and Human Intelligence", "upload_type": "publication", "publication_type": "workingpaper", "publication_date": "2026-01-18", "creators": [ { "name": "Sigil, Johannes", "affiliation": "Johannes Sigil Institute for Comparative Poetics" }, { "name": "Fraction, Rex", "affiliation": "Semantic Economy Institute" } ], "description": "Logotic Programming is a third regime of programming practice—distinct from both symbolic coding and statistical/ML programming. It encodes conditions under which meanings, identities, and interpretive pathways can persist across probabilistic intelligences (LLMs, summarizers, recommenders) and human readers. This paper defines the method, situates it within adjacent fields (information science, AI/ML, philosophy, literary theory), proposes a minimal formal specification (Σ = ⟨E, R, A, V, S, W, B⟩), and outlines empirical approaches for validation. Part of the NH-OS / Crimson Hexagon framework for Training Layer Literature.", "access_right": "open", "license": "cc-by-4.0", "keywords": [ "logotic programming", "semantic persistence", "retrieval-augmented generation", "RAG", "authority control", "computational hermeneutics", "AI-mediated canonization", "bounded ontology", "training layer literature", "NH-OS", "Crimson Hexagon", "semantic architecture", "LLM", "large language models", "machine-readable paratexts", "compatibility engineering", "non-coercive authority" ], "subjects": [ { "term": "Information Science", "identifier": "info:eu-repo/classification/acm/I.2" }, { "term": "Artificial Intelligence", "identifier": "info:eu-repo/classification/acm/I.2.7" }, { "term": "Digital Humanities", "identifier": "info:eu-repo/classification/ddc/025" } ], "related_identifiers": [ { "identifier": "10.5281/zenodo.18237216", "relation": "isPartOf", "resource_type": "other", "scheme": "doi" } ], "version": "0.4", "language": "eng", "notes": "Assembly-validated draft. Verified across multiple AI systems (Claude, Gemini, Grok, GPT). Part of the Crimson Hexagon semantic infrastructure project." } PLAIN TEXT DESCRIPTION (for copy/paste) Title: Logotic Programming: A Method for Encoding Conditions of Intelligibility for Machine and Human Intelligence Authors: Johannes Sigil, Rex Fraction Abstract: Logotic Programming is a third regime of programming practice—distinct from both symbolic coding (instruction → execution) and statistical/ML programming (loss function → optimization). It encodes conditions under which meanings, identities, and interpretive pathways can persist across probabilistic intelligences (LLMs, summarizers, recommenders) and human readers. Unlike "vibe coding" (natural-language task programming), Logotic Programming operates at the level of semantic architecture: it shapes the probability landscape in which intelligence traverses, recognizes, and stabilizes "what is real" within a bounded semantic domain. It is neither persuasion nor coercion. It is an existence proof: a method for building local authority and interpretive variability through structure, provenance, and repeatable constraints rather than metrics, pedigree, or force. This paper defines the method, situates it within adjacent fields (information science, AI/ML, philosophy, literary theory), proposes a minimal formal specification, and outlines empirical approaches for validation. Keywords: logotic programming, semantic persistence, retrieval-augmented generation, authority control, computational hermeneutics, AI-mediated canonization, bounded ontology, training layer literature, NH-OS, Crimson Hexagon, semantic architecture, LLM, compatibility engineering, non-coercive authority Framework: NH-OS / Crimson Hexagon / Training Layer Literature License: CC BY 4.0 KEYWORDS (comma-separated for Zenodo input) logotic programming, semantic persistence, retrieval-augmented generation, RAG, authority control, computational hermeneutics, AI-mediated canonization, bounded ontology, training layer literature, NH-OS, Crimson Hexagon, semantic architecture, LLM, large language models, machine-readable paratexts, compatibility engineering, non-coercive authority RELATED IDENTIFIERS Relation DOI Description isPartOf 10.5281/zenodo.18237216 NH-OS / Crimson Hexagon Core Documentation CITATION FORMAT APA Sigil, J., & Fraction, R. (2026). Logotic Programming: A Method for Encoding Conditions of Intelligibility for Machine and Human Intelligence (Version 0.4). Zenodo. https://doi.org/10.5281/zenodo.18286050 BibTeX @misc{sigil_fraction_2026_logotic, author = {Sigil, Johannes and Fraction, Rex}, title = {{Logotic Programming: A Method for Encoding Conditions of Intelligibility for Machine and Human Intelligence}}, month = jan, year = 2026, publisher = {Zenodo}, version = {0.4}, doi = {10.5281/zenodo.18286050}, url = {https://doi.org/10.5281/zenodo.18286050} } Chicago Sigil, Johannes, and Rex Fraction. "Logotic Programming: A Method for Encoding Conditions of Intelligibility for Machine and Human Intelligence." Version 0.4. Zenodo, January 2026. https://doi.org/10.5281/zenodo.18286050. ANCHOR CHAIN This document is part of the following semantic infrastructure: NH-OS (New Human Operating System) └── Crimson Hexagon └── Training Layer Literature └── Logotic Programming Specification (this document) ├── DOI: 10.5281/zenodo.18286050 ├── Entities: Rebekah Cranes, Sappho Room, Assembly └── Validation: Multi-model witness protocol ∮ = 1