Figure 2. Operational Model of the Cesar Sosa Cognitive Framework Series – CS-CFS
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| Natura: | Recurso digital |
| Lingua: | inglese |
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Zenodo
2026
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| _version_ | 1866901276226224128 |
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| author | CESAR SOSA, V. G. |
| author_facet | CESAR SOSA, V. G. |
| contents | <p>This figure presents the operational model of the <em>Cesar Sosa Cognitive Framework Series (CS-CFS)</em>, an original <strong>relational, recursive and adaptive epistemological architecture</strong> integrating human cognition, artificial intelligence, and educational mediation within hybrid cognitive systems.</p> <p>The diagram illustrates the methodological structure of the framework, including:</p> <ul> <li>the <strong>Primary Observational Protocol</strong>, responsible for contextual diagnosis and cognitive mapping;</li> <li>the <strong>NGCR (Relational Generative Cognitive Nucleus)</strong>, functioning as the central system for relational and recursive cognitive processing;</li> <li>the <strong>CCC (Compatible Cognitive Communication)</strong>, which enables alignment between human intentionality and artificial intelligence responses through adaptive mediation;</li> <li>the <strong>RAFM (Mediated Functional Affective Resonance)</strong>, introducing affective-cognitive regulation as a structural component of the system;</li> <li>and the <strong>FAAE (Academic Self-Perception and Learning Regulation Instrument)</strong>, operating as a recursive mechanism for evaluation, self-regulation, and adaptive feedback.</li> </ul> <p>The model operates through a continuous feedback loop that re-enters the NGCR, enabling dynamic cognitive regulation and the ongoing adaptation of learning processes.</p> <p>Additionally, the framework integrates cognitive, affective, symbolic, and technological dimensions within a multi-level institutional mediation network, involving students, artificial intelligence systems, educators, and socio-contextual actors.</p> <p>This figure is part of the <em>Cesar Sosa Cognitive Framework Series (CS-CFS)</em> and is fully aligned with the authorial framework registered under Zenodo DOI:<br><a class="decorated-link" href="https://doi.org/10.5281/zenodo.19866171" rel="noopener">https://doi.org/10.5281/zenodo.19866171</a></p> <p> </p> <p>“The model conceptualizes cognition as a relational, recursive and adaptive process, in which artificial intelligence operates as a mediating system rather than an autonomous entity.”</p> <p>This work is part of the Cesar Sosa Cognitive Framework Series (CS-CFS).</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_19866998 |
| institution | Zenodo |
| language | eng |
| publishDate | 2026 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Figure 2. Operational Model of the Cesar Sosa Cognitive Framework Series – CS-CFS CESAR SOSA, V. G. Cesar Sosa Cognitive Framework Series CS-CFS Hybrid Cognition Artificial Intelligence Cognitive Mediation Epistemology Conceptual Diagram Operational Model symbolic <p>This figure presents the operational model of the <em>Cesar Sosa Cognitive Framework Series (CS-CFS)</em>, an original <strong>relational, recursive and adaptive epistemological architecture</strong> integrating human cognition, artificial intelligence, and educational mediation within hybrid cognitive systems.</p> <p>The diagram illustrates the methodological structure of the framework, including:</p> <ul> <li>the <strong>Primary Observational Protocol</strong>, responsible for contextual diagnosis and cognitive mapping;</li> <li>the <strong>NGCR (Relational Generative Cognitive Nucleus)</strong>, functioning as the central system for relational and recursive cognitive processing;</li> <li>the <strong>CCC (Compatible Cognitive Communication)</strong>, which enables alignment between human intentionality and artificial intelligence responses through adaptive mediation;</li> <li>the <strong>RAFM (Mediated Functional Affective Resonance)</strong>, introducing affective-cognitive regulation as a structural component of the system;</li> <li>and the <strong>FAAE (Academic Self-Perception and Learning Regulation Instrument)</strong>, operating as a recursive mechanism for evaluation, self-regulation, and adaptive feedback.</li> </ul> <p>The model operates through a continuous feedback loop that re-enters the NGCR, enabling dynamic cognitive regulation and the ongoing adaptation of learning processes.</p> <p>Additionally, the framework integrates cognitive, affective, symbolic, and technological dimensions within a multi-level institutional mediation network, involving students, artificial intelligence systems, educators, and socio-contextual actors.</p> <p>This figure is part of the <em>Cesar Sosa Cognitive Framework Series (CS-CFS)</em> and is fully aligned with the authorial framework registered under Zenodo DOI:<br><a class="decorated-link" href="https://doi.org/10.5281/zenodo.19866171" rel="noopener">https://doi.org/10.5281/zenodo.19866171</a></p> <p> </p> <p>“The model conceptualizes cognition as a relational, recursive and adaptive process, in which artificial intelligence operates as a mediating system rather than an autonomous entity.”</p> <p>This work is part of the Cesar Sosa Cognitive Framework Series (CS-CFS).</p> |
| title | Figure 2. Operational Model of the Cesar Sosa Cognitive Framework Series – CS-CFS |
| topic | Cesar Sosa Cognitive Framework Series CS-CFS Hybrid Cognition Artificial Intelligence Cognitive Mediation Epistemology Conceptual Diagram Operational Model symbolic |
| url | https://doi.org/10.5281/zenodo.19866998 |