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| Format: | Recurso digital |
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Zenodo
2025
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| Online Access: | https://doi.org/10.5281/zenodo.15872644 |
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Table of Contents:
- <p>This paper presents a new theoretical framework that redefines the essence of evolution by introducing the concepts of “semantic density” and the future convergence function $\Lambda(T)$, departing from Darwinian evolution based on natural selection. While traditional evolution theory is grounded in past adaptation, this theory proposes that the gradient of semantic density and future-directed causal structure drive transformations across all hierarchical levels: organisms, species, civilizations, and even the universe. Using the semantic density tensor $\rho_M$ and the future information function $\Lambda(T)$, the theory unifies descriptions of individual free will, species-level selection, institutional evolution, and cosmic structural generation. This work integrates biology, physics, information theory, and ethics into a forward-looking, meaning-centered paradigm of evolution.</p>