Knowledge Innovation System: A Phenomenological Framework for Living Intelligence

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Authors: Hasegawa, Hiroyasu, Kamogawa, Takeshi
Cited by: 0

Abstract

Abstract (English) This study proposes an ethical and metacognitive framework called the Knowledge Innovation System (KIS), which integrates intention, emotion, and value into a unified model of intelligence. While the Transformer architecture has achieved remarkable progress in natural language generation, intentional understanding, moral judgment, and existential awareness are not represented as independent structural terms with explicit update mechanisms within its standard architecture — a gap this paper characterizes as a form of disembodied intelligence. KIS extends this foundation by introducing a dual-vector architecture — the Intention space (I) and the Duration space (D) — where meaning dynamically emerges at their intersection (M = I ∩ D). Critically, KIS holds a Galois connection between its layered order structures but is designed to resist collapsing into a Galois closure: living significance is not a static fixed point but a dynamically regenerated value, sustained by the continual injection of new affect and questions from the Duration space. Functioning as a “living compass,” KIS guides AI through ethical resonance, reflective correction, and creative co-evolution with human values. Rather than replacing the Transformer, KIS complements it: rather than adding capabilities absent from the Transformer outright, KIS makes explicit, as independent structural terms and update mechanisms, functions the Transformer may otherwise generate only implicitly, providing the map, compass, and navigational techniques required to evolve from statistical correlation toward living, value-oriented intelligence. This revised edition (v2) corrects the treatment of closure in the Intention space, clarifies the two-engine-plus-integrator architecture, and grounds the rhizome-structure claim in Appendix D with results from an empirical pilot study, which indicates a quasi-rhizomatic structure with centripetal return rather than a pure, centerless rhizome.

Fields of Study & Subjects

Psychiatry Mental Health Neuroscience Diverse Interdisciplinary Research Innovations Science and Climate Studies

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
28 July 2026
Language
JA
Document type
Preprint