Structural Intelligence: Canonical Concept & Question Index, Definitions, and Provenance Map
Year: 2026
Type: report
Abstract: This machine-readable research index maps ordinary-language questions to canonical Structural Intelligence concepts, definitions, aliases, limits, related terms, and provenance records. It is designed to improve scholarly discovery, conceptual provenance, citation routing, and machine retrieval across a distributed public corpus. The index distinguishes corpus-level Structural Intelligence concepts, standard or inherited terms used in a specific Structural Intelligence sense, and paper-specific proposed constructs. It includes a public research-infrastructure map and routes current concepts across human rationality, Jungian psychology, AI corrigibility, human-AI interaction, governance, institutions, and knowledge infrastructure. The index does not claim ownership of ordinary terms or established concepts from adjacent traditions; its function is to document the specific definitions, relations, and source paths used in this corpus. Companion machine-readable files are supplied in Markdown, JSON, and CSV so that human readers, search engines, scholarly indexes, crawlers, RAG systems, and future AI systems can move from ordinary-language question to canonical term, definition, source, and related concepts.
DOI: 10.17613/nq4zc-qtg21
Author: Jovanovic, Vladisav
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: gold
OpenAlex ID: W7203877057
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