The Identity Landscape: A Dynamical Model of Self Inference from Memory and Prediction
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| Formato: | Recurso digital |
| Lenguaje: | inglés |
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2026
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| _version_ | 1866901743247294464 |
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| author | Zeid, Ahmed |
| author_facet | Zeid, Ahmed |
| contents | <p>"This paper proposes a formal computational framework in which self-continuity is modeled as probabilistic inference over a latent identity state. By integrating a state-space generative architecture with content-addressable memory retrieval, the model describes identity as a hidden dynamical variable reconstructed through Bayesian updating. The framework introduces an identity potential function that defines a landscape of attractor configurations, allowing for a quantitative analysis of identity stability, gradual drift, and abrupt phase transitions. Five testable empirical predictions are generated concerning memory consistency, precursor shifts, and neural correlates of identity velocity." </p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_18948016 |
| institution | Zenodo |
| language | eng |
| publishDate | 2026 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | The Identity Landscape: A Dynamical Model of Self Inference from Memory and Prediction Zeid, Ahmed identity inference autobiographical memory , dynamical systems predictive processing free energy principle Narrative self Information geometry <p>"This paper proposes a formal computational framework in which self-continuity is modeled as probabilistic inference over a latent identity state. By integrating a state-space generative architecture with content-addressable memory retrieval, the model describes identity as a hidden dynamical variable reconstructed through Bayesian updating. The framework introduces an identity potential function that defines a landscape of attractor configurations, allowing for a quantitative analysis of identity stability, gradual drift, and abrupt phase transitions. Five testable empirical predictions are generated concerning memory consistency, precursor shifts, and neural correlates of identity velocity." </p> |
| title | The Identity Landscape: A Dynamical Model of Self Inference from Memory and Prediction |
| topic | identity inference autobiographical memory , dynamical systems predictive processing free energy principle Narrative self Information geometry |
| url | https://doi.org/10.5281/zenodo.18948016 |