Enregistré dans:
| Auteur principal: | |
|---|---|
| Format: | Recurso digital |
| Langue: | |
| Publié: |
Zenodo
2025
|
| Accès en ligne: | https://doi.org/10.5281/zenodo.17611000 |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Table des matières:
- <p>This article introduces Second-Order Biology (SOB): a discipline that treats biology not only as the study of structures and processes within a given explanatory frame, but as a governed network of transformations among frames—linking cellular, physiological, neural, cognitive, and social levels by typed translators, cycle-consistency audits, and propagation-first measurement. Building on the author’s Human-Centric Functional Modeling (HCFM) drafts in the accompanying collection, we identify a hierarchy of development stages in the human organism that can be represented as a hierarchy of functional systems, each equipped with a functional state space describing its possible behaviors. We then articulate SOB as the second-order layer that measures and controls the quality of the cross-level mappings themselves, by adapting the embedded metric suite developed in second-order mathematics: Bridge Pass-Rate, Cycle-Loss, Minimum Description Length (MDL) deltas, and Overlap Residuals. We situate SOB within the literature on developmental systems and dynamics (Thelen and Smith, 1994; Spencer et al., 2006), neural and cognitive architectures (Edelman, 1987; Kandel et al., 2013; Friston, 2010; Amazonka and Clark, 2013), systems biology and multi-omics integration (Kitano, 2002; Ideker et al., 2012), motor control and coordination (Bernstein, 1967), and the epigenetic landscape metaphor (Waddington, 1957). SOB’s core claim is not that any one mechanistic model suffices, but that cross-level coherence can be measured and governed, turning network effects across biological theories into a compounding engine for discovery.</p>