Constraint-Observed Intelligence
Abstract
This work proposes a constraint-observed framework for modeling cognitive dynamics, in which goals and meaning structures are treated as temporally localized outputs rather than persistent causal primitives. The paper introduces the concept of multi-anchor temporary closure and explores implications for stability, constraint interaction, and machine intelligence.
Fields of Study & Subjects
Cognitive Computing and Networks
Philosophy and Theoretical Science
Psychiatry
Mental Health
Neuroscience
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 1 February 2026
- Language
- EN
- Document type
- Preprint