ArticleProceedings of the National Academy of Sciences of the United States of America2020
Optimal control of aging in complex networks.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
8 citing papers in PubMed.
- A game-theoretic attack-defense framework for the study of network resilience.Nature communications · 2026Article
- Systemic epigenetic dysregulation as a driver of ageing and a therapeutic target.Nature reviews. Molecular cell biology · 2026Review
- Article
- Dynamics of the end-of-life phase explained by the saturating removal model.bioRxiv : the preprint server for biology · 2026Article
- Foundations of Gerophysics.Aging · 2026Article
- Fisher Information and the Dynamics of Multicellular Ageing.Entropy (Basel, Switzerland) · 2025Article
- How Mitochondrial Signaling Games May Shape and Stabilize the Nuclear-Mitochondrial Symbiosis.Biology · 2024Article
- Predicting physiological aging rates from a range of quantitative traits using machine learning.Aging · 2021Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Many complex systems experience damage accumulation, which leads to aging, manifest as an increasing probability of system collapse with time. This naturally raises the question of how to maximize health and longevity in an aging system at minimal cost of maintenance and intervention. Here, we pose this question in the context of a simple interdependent network model of aging in complex systems and show that it exhibits cascading failures. We then use both optimal control theory and reinforcement learning alongside a combination of analysis and simulation to determine optimal maintenance protocols. These protocols may motivate the rational design of strategies for promoting longevity in aging complex systems with potential applications in therapeutic schedules and engineered system maintenance.
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Registered trials
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