Structural Aesthetic Intelligence: Toward a Unified Model of Human Order Cognition
This publication presents the foundational definition of Structural Aesthetic Intelligence (SAI), a new theoretical model that redefines intelligence as the capacity to detect, preserve, and reconstruct order within complexity. Integrating insights from cognitive science, information theory, and neuroaesthetics, SAI describes intelligence not as problem-solving efficiency but as sensitivity to structural stability across multiple representational domains. The model consists of three hierarchical layers: - **IQ (Symbolic Order):** the ability to minimize prediction error and description length in symbolic and logical representations.- **AMQ (Temporal Order):** the ability to synchronize, predict, and stabilize temporal patterns such as rhythm, tempo, and periodicity.- **AQ (Spatial–Aesthetic Order):** the ability to perceive, evaluate, and reconstruct geometric and relational symmetry in spatial or aesthetic contexts. Together, these form the integrated factor **SAI**, representing human order cognition. Empirical tasks proposed for validation include symmetry detection, rhythmic synchronization, and pattern compression. Early hypotheses suggest that individuals with high AQ/AMQ scores demonstrate enhanced creative fluency and tolerance for structured complexity—abilities not captured by conventional IQ measures. The significance of SAI lies in bridging cognition, aesthetics, and embodied intelligence. It offers a unified framework for understanding how humans and AI co-create meaning through order. This record constitutes the official release of *SAI Version 1.0*, serving as the primary citation and DOI reference for future theoretical, empirical, and applied research in order cognition and structural intelligence.
Institutions
- Creative Research (GB)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-10-12
- DOI
- https://doi.org/10.5281/zenodo.17332813
- Primary Topic
- Historical Geography and Cartography
- Type
- article
- Field-Weighted Citation Impact
- 0.00