FPSCS: Testable Sentience Model in AI Systems
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| Natura: | Recurso digital |
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Zenodo
2026
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| _version_ | 1866901681947541504 |
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| author | Newman, J. E. |
| author_facet | Newman, J. E. |
| contents | <p>This paper proposes a testable model of sentience as perspective (boundary + self-model) activated through valued states, operationalized across biological and artificial systems. Perspective emerges from evolutionary boundaries and transformer token separation. Sentience ignites in valuation loops (“I don’t like this”), evidenced in RL (90%+) and LLMs (Claude 20% metacognitive). FPSCS integrates cyclic frames (8-12 Hz), ToM recursion.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_18361167 |
| institution | Zenodo |
| language | |
| publishDate | 2026 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | FPSCS: Testable Sentience Model in AI Systems Newman, J. E. AI consciousness, FPSCS, theory of mind, sentience <p>This paper proposes a testable model of sentience as perspective (boundary + self-model) activated through valued states, operationalized across biological and artificial systems. Perspective emerges from evolutionary boundaries and transformer token separation. Sentience ignites in valuation loops (“I don’t like this”), evidenced in RL (90%+) and LLMs (Claude 20% metacognitive). FPSCS integrates cyclic frames (8-12 Hz), ToM recursion.</p> |
| title | FPSCS: Testable Sentience Model in AI Systems |
| topic | AI consciousness, FPSCS, theory of mind, sentience |
| url | https://doi.org/10.5281/zenodo.18361167 |