| _version_ | 1866901736309915648 |
|---|---|
| author | 小川, 悠斗 |
| author_facet | 小川, 悠斗 |
| 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> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_15872644 |
| institution | Zenodo |
| language | |
| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Semantic Convergent Evolution Theory: A Unified Framework Beyond Darwinian Evolution 小川, 悠斗 <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> |
| title | Semantic Convergent Evolution Theory: A Unified Framework Beyond Darwinian Evolution |
| url | https://doi.org/10.5281/zenodo.15872644 |