The Information Dynamics of Decline: Modeling Senescence as a Life-History Trajectory in the DECC Phase Space
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| Formato: | Recurso digital |
| Lenguaje: | inglés |
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2025
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| _version_ | 1866902103507599360 |
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| author | Kevin Fathi |
| author_facet | Kevin Fathi |
| contents | <p>This paper introduces a novel theoretical framework for understanding the evolution of senescence, recasting it as an information-dynamic process. We apply the Dynamic Entropy--Complexity Correspondence (DECC) to model an organism's life history. We establish a rigorous foundation by modeling the unfolding of the developmental program over the lifespan as a Continuous-Time Markov Process governed by a Master Equation. From this, we rigorously derive the Age-Dependent Complexity Dynamics Equation (CDE). By weighting the CDE terms by Fisher's reproductive value ($V_{a}$), we transform the problem of life-history evolution into one of optimal control. We demonstrate that the canonical theories of senescence---Disposable Soma (DS), Antagonistic Pleiotropy (AP), and Mutation Accumulation (MA)---emerge as distinct classes of solutions to a single variational problem. The DS theory is shown to be an optimal strategy trading late-life robustness ($\dot{\Delta}<0$) for early-life phenotypic expression ($\dot{H}(X)>0$). AP represents a constrained trajectory, while MA arises from vanishing selective pressure ($V_{a}\rightarrow 0$). This synthesis provides a unified, mathematically rigorous foundation for senescence, explaining it as an evolved, optimal, and information-theoretically constrained strategy.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_17538075 |
| institution | Zenodo |
| language | eng |
| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | The Information Dynamics of Decline: Modeling Senescence as a Life-History Trajectory in the DECC Phase Space Kevin Fathi Bateson Game Senescence Biological Aging Evolutionary Game Theory Gregory Bateson Double Bind Recursive Systems Strategic Ambiguity Logical Types Systems Biology Cybernetics Aging Theory Inter-level Signaling Temporal Discounting <p>This paper introduces a novel theoretical framework for understanding the evolution of senescence, recasting it as an information-dynamic process. We apply the Dynamic Entropy--Complexity Correspondence (DECC) to model an organism's life history. We establish a rigorous foundation by modeling the unfolding of the developmental program over the lifespan as a Continuous-Time Markov Process governed by a Master Equation. From this, we rigorously derive the Age-Dependent Complexity Dynamics Equation (CDE). By weighting the CDE terms by Fisher's reproductive value ($V_{a}$), we transform the problem of life-history evolution into one of optimal control. We demonstrate that the canonical theories of senescence---Disposable Soma (DS), Antagonistic Pleiotropy (AP), and Mutation Accumulation (MA)---emerge as distinct classes of solutions to a single variational problem. The DS theory is shown to be an optimal strategy trading late-life robustness ($\dot{\Delta}<0$) for early-life phenotypic expression ($\dot{H}(X)>0$). AP represents a constrained trajectory, while MA arises from vanishing selective pressure ($V_{a}\rightarrow 0$). This synthesis provides a unified, mathematically rigorous foundation for senescence, explaining it as an evolved, optimal, and information-theoretically constrained strategy.</p> |
| title | The Information Dynamics of Decline: Modeling Senescence as a Life-History Trajectory in the DECC Phase Space |
| topic | Bateson Game Senescence Biological Aging Evolutionary Game Theory Gregory Bateson Double Bind Recursive Systems Strategic Ambiguity Logical Types Systems Biology Cybernetics Aging Theory Inter-level Signaling Temporal Discounting |
| url | https://doi.org/10.5281/zenodo.17538075 |