Poietic Freedom: Formalizing Agency Beyond Algorithmic Optimization
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2026
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| author | José, Fernandez Tamames |
| author_facet | José, Fernandez Tamames |
| contents | <p>This article reconceptualizes human freedom as poietic freedom: the capacity to<br>initiate realities not deducible from prior rules or conclusive reasons. Against dominant<br>elective models—which reduce agency to selecting among predefined options<br>(Ot)—we argue that paradigm cases of freedom (e.g., founding legal institutions,<br>inventing techniques, creating art) involve ontological expansion rather than optimization.<br>Formalized under the Free∗ operator, poietic freedom satisfies five conditions:<br>(i) relative ontological novelty (NO), (ii) non-necessity (NN), (iii) absence<br>of conclusive reasons (¬RC), (iv) intentional form (IF), and (v) guidance control<br>(Ctrl). We develop a replicable Diagnostic Protocol (FDP) and Poietic Index (L∗)<br>to identify and quantify such acts, validating the model through historical cases. After<br>rebutting determinist and computationalist objections, we explore implications<br>for ethics (post-factum responsibility) and technology, arguing that Generative AI,<br>bound by statistical optimization, structurally lacks poietic capacity.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_19278302 |
| institution | Zenodo |
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| publishDate | 2026 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Poietic Freedom: Formalizing Agency Beyond Algorithmic Optimization José, Fernandez Tamames <p>This article reconceptualizes human freedom as poietic freedom: the capacity to<br>initiate realities not deducible from prior rules or conclusive reasons. Against dominant<br>elective models—which reduce agency to selecting among predefined options<br>(Ot)—we argue that paradigm cases of freedom (e.g., founding legal institutions,<br>inventing techniques, creating art) involve ontological expansion rather than optimization.<br>Formalized under the Free∗ operator, poietic freedom satisfies five conditions:<br>(i) relative ontological novelty (NO), (ii) non-necessity (NN), (iii) absence<br>of conclusive reasons (¬RC), (iv) intentional form (IF), and (v) guidance control<br>(Ctrl). We develop a replicable Diagnostic Protocol (FDP) and Poietic Index (L∗)<br>to identify and quantify such acts, validating the model through historical cases. After<br>rebutting determinist and computationalist objections, we explore implications<br>for ethics (post-factum responsibility) and technology, arguing that Generative AI,<br>bound by statistical optimization, structurally lacks poietic capacity.</p> |
| title | Poietic Freedom: Formalizing Agency Beyond Algorithmic Optimization |
| url | https://doi.org/10.5281/zenodo.19278302 |