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| Autor principal: | |
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| Formato: | Recurso digital |
| Idioma: | inglês |
| Publicado em: |
Zenodo
2026
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| Assuntos: | |
| Acesso em linha: | https://doi.org/10.5281/zenodo.20017575 |
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Sumário:
- <p>This paper develops the interaction and network dynamics of discrete states within the Scalar Drag Emergence Framework (SDEF), establishing the bridge from isolated attractors to structured multi-state configurations.</p> <p>Building on prior results in which continuous proto-state manifolds collapse into discrete, stability-locked attractor classes, we analyze how such states interact through shared transport–ancestry dynamics. Interactions are shown to arise from joint admissibility constraints, without introducing additional interaction primitives.</p> <p>Stable two-state configurations form only when compatibility in gradient structure, ancestry, and topology is satisfied, with corridor-mediated coupling enabling persistent interaction. Extending to multiple states, we demonstrate that stable configurations take the form of networks constrained by transport pathways, ancestry consistency, and topological compatibility.</p> <p>Transitions between network states occur only when perturbations exceed instability thresholds and follow admissible pathways defined by corridor structure and topological constraints. As a result, network evolution proceeds through discrete transitions between stable attractor configurations.</p> <p>These results establish a dynamical layer within SDEF in which interacting discrete states form stable networks with constrained connectivity and transition behavior. This provides a foundation for investigating higher-order organization arising from networked discrete states.</p>