Arc of Self: A Recursive Theory of Identity
Identity is modeled as a fourteen-node re-entrant architecture in four phases (Hardware, OS Install, Engine, Loop), with a closed running circuit at nodes 10-14. Cultural concepts, installed through an innate loader, assemble into Personality Properties; the Properties generate a standing demand for validation; the demand shapes attention and situation selection; behavior is executed to confirm the self-model; and the resulting feedback is filtered in the self-model's favor before it can revise the concepts that produced it. The framework synthesizes established results (behavioral genetics, core knowledge, predictive processing, self-verification, dissonance, hedonic adaptation); its contributions are the ordered architecture itself, the full running pass as the unit of analysis, an account of emotional concepts as full-loop configurations with addressable hot nodes, and the Collision Layer, a mechanistic description of how two identity loops modify each other through unlabeled behavioral output. Six falsifiable predictions are staked. The interactive form of the theory is available at https://arc-of-self.com.
Authors
- Wolf Alexanyan (ORCID: https://orcid.org/0009-0002-7918-5257)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-08-18
- DOI
- https://doi.org/10.5281/zenodo.21991757
- Primary Topic
- Social Power and Status Dynamics
- Type
- preprint