Toutes les références

Une famille de mécanismes identifiable figure dans le code publié. Cela n’établit pas une reproduction de chaque publication originale.

5. 1978
   Leslie Lamport. 'Time, Clocks, and the Ordering of Events in a Distributed System.' Communications of the ACM 21(7), 558-565, 1978.
   https://doi.org/10.1145/359545.359563Systèmes distribués, consensus et fondements mathématiques
6. 1988
   Colin J. Fidge. 'Timestamps in Message-Passing Systems That Preserve the Partial Ordering.' 11th Australian Computer Science Conference, pp. 56-66, 1988.
   Copie en ligne actuellement indisponible; référence conservée.Systèmes distribués, consensus et fondements mathématiques
7. 1989
   Friedemann Mattern. 'Virtual Time and Global States of Distributed Systems.' Proc. Workshop on Parallel and Distributed Algorithms, pp. 215-226, 1989.
   https://www.vs.inf.ethz.ch/publ/papers/VirtTimeGlobStates.pdfSystèmes distribués, consensus et fondements mathématiques
143. 2014
     Melissa E. O’Neill. PCG: A Family of Simple Fast Space-Efficient Statistically Good Algorithms for Random Number Generation. Technical Report HMC-CS-2014-0905, Harvey Mudd College, 2014.
     https://www.pcg-random.org/paper.htmlSystèmes distribués, consensus et fondements mathématiques

Un rôle de conception est déclaré dans les sources. Une influence conceptuelle se distingue d’une validation empirique ou d’une implantation de l’article original.

3. 1945
   F. A. Hayek. “The Use of Knowledge in Society.” American Economic Review 35(4), 519–530, 1945. JSTOR 1809376.
   https://www.jstor.org/stable/1809376Culture informationnelle, propagande et jugement humain
9. 1998
   Simon A. Levin. “Ecosystems and the biosphere as complex adaptive systems.” Ecosystems 1(5), 431–436, 1998. DOI: 10.1007/s100219900037.
   https://doi.org/10.1007/s100219900037Systèmes complexes, vieillissement, physiologie et écologie
24. 2012
    Rafal Goebel, Ricardo G. Sanfelice, and Andrew R. Teel. Hybrid Dynamical Systems: Modeling, Stability, and Robustness. Princeton University Press, 2012. ISBN 978-0-691-15389-6.
    https://assets.press.princeton.edu/catalogs/math12.pdf#page=20Systèmes distribués, consensus et fondements mathématiques
25. 2012
    Cohen AA, Martin LB, Wingfield JC, McWilliams SR, Dunne JA. 'Physiological regulatory networks: ecological roles and evolutionary constraints.' Trends in Ecology & Evolution 27 (2012): 428-435.
    https://doi.org/10.1016/j.tree.2012.04.008Systèmes complexes, vieillissement, physiologie et écologie
26. 2013
    Cohen AA et al. 'A novel statistical approach shows evidence for multi-system physiological dysregulation during aging.' Mechanisms of Ageing and Development 134 (2013): 110-117.
    https://doi.org/10.1016/j.mad.2013.01.004Systèmes complexes, vieillissement, physiologie et écologie
29. 2014
    Mikko Kivelä, Alex Arenas, Marc Barthelemy, James P. Gleeson, Yamir Moreno, and Mason A. Porter. “Multilayer networks.” Journal of Complex Networks 2(3), 203–271, 2014. DOI: 10.1093/comnet/cnu016.
    https://doi.org/10.1093/comnet/cnu016Systèmes distribués, consensus et fondements mathématiques
30. 2014
    Cohen AA et al. 'Cross-population validation of statistical distance as a measure of physiological dysregulation during aging.' Experimental Gerontology 57 (2014): 203-210.
    https://doi.org/10.1016/j.exger.2014.04.016Systèmes complexes, vieillissement, physiologie et écologie
31. 2015
    Li Q et al. 'Homeostatic dysregulation proceeds in parallel in multiple physiological systems.' Aging Cell 14 (2015): 1103-1112.
    https://doi.org/10.1111/acel.12402Systèmes complexes, vieillissement, physiologie et écologie
37. 2016
    Cohen AA. 'Complex systems dynamics in aging: new evidence, continuing questions.' Biogerontology 17 (2016): 205-220.
    https://doi.org/10.1007/s10522-015-9584-xSystèmes complexes, vieillissement, physiologie et écologie
42. 2017
    Cohen AA, Isaksson C, Salguero-Gómez R. 'Co-existence of multiple trade-off currencies shapes evolutionary outcomes.' PLoS ONE 12 (2017): e0189124.
    https://doi.org/10.1371/journal.pone.0189124Systèmes complexes, vieillissement, physiologie et écologie
47. 2018
    Cohen AA. 'Aging across the tree of life: The importance of a comparative perspective for the use of animal models in aging.' BBA Molecular Basis of Disease 1864 (2018): 2680-2689.
    https://doi.org/10.1016/j.bbadis.2017.05.028Systèmes complexes, vieillissement, physiologie et écologie
54. 2020
    Cohen AA et al. 'Are trade-offs really the key drivers of ageing and life span?' Functional Ecology 34 (2020): 153-166.
    https://doi.org/10.1111/1365-2435.13444Systèmes complexes, vieillissement, physiologie et écologie
55. 2020
    Cohen AA, Legault V, Fülöp T. 'What if there’s no such thing as aging?' Mechanisms of Ageing and Development 192 (2020): 111344.
    https://doi.org/10.1016/j.mad.2020.111344Systèmes complexes, vieillissement, physiologie et écologie
59. 2021
    Cohen AA, Leblanc S, Roucou X. 'Robust Physiological Metrics From Sparsely Sampled Networks.' Frontiers in Physiology 12 (2021): 624097.
    https://doi.org/10.3389/fphys.2021.624097Systèmes complexes, vieillissement, physiologie et écologie
62. 2022
    Wensink MJ, Cohen AA. 'The Danaid Theory of Aging.' Frontiers in Cell and Developmental Biology 9 (2022): 671208.
    https://doi.org/10.3389/fcell.2021.671208Systèmes complexes, vieillissement, physiologie et écologie
63. 2022
    Cohen AA, Ferrucci L, Fülöp T, et al. 'A complex systems approach to aging biology.' Nature Aging 2 (2022): 580-591.
    https://doi.org/10.1038/s43587-022-00252-6Systèmes complexes, vieillissement, physiologie et écologie
64. 2022
    Cohen AA, Leung DL, Legault V, et al. 'Synchrony of biomarker variability indicates a critical transition: Application to mortality prediction in hemodialysis.' iScience 25 (2022): 104385.
    https://doi.org/10.1016/j.isci.2022.104385Systèmes complexes, vieillissement, physiologie et écologie
70. 2024
    Micah Carroll et al. “AI Alignment with Changing and Influenceable Reward Functions.” ICML 2024.
    https://proceedings.mlr.press/v235/carroll24a.htmlCoopération humain–IA, valeurs et gouvernance
74. 2024
    Ryan Greenblatt et al. “AI Control: Improving Safety Despite Intentional Subversion.” ICML 2024.
    https://proceedings.mlr.press/v235/greenblatt24a.htmlAlignement de l’IA, apprentissage, évaluation et contrôle
85. 2025
    Moshe Glickman & Tali Sharot. “How human–AI feedback loops alter human perceptual, emotional and social judgements.” Nature Human Behaviour 9, 345–359, 2025. DOI: 10.1038/s41562-024-02077-2.
    https://www.nature.com/research/papers/s41562-024-02077-2Coopération humain–IA, valeurs et gouvernance
87. 2025
    Trenton Bricken et al. “Building and evaluating alignment auditing agents.” Anthropic Alignment Science, 2025.
    https://alignment.anthropic.com/2025/automated-auditing/Alignement de l’IA, apprentissage, évaluation et contrôle
90. 2025
    Florian Carichon et al. “The Coming Crisis of Multi-Agent Misalignment: AI Alignment Must Be a Dynamic and Social Process.” arXiv:2506.01080, 2025.
    https://arxiv.org/abs/2506.01080Coopération humain–IA, valeurs et gouvernance
94. 2025
    The Five Vows / VowOS. User-supplied normative framework, 2025–2026 revisions.
    Aucun lien direct en ligne indiquéManuscrits, cadres et logiciels du projet
98. 2025
    Cohen AA, Picard M, Beard JR, et al. 'Intrinsic health as a foundation for a science of health.' Science Advances 11 (2025): eadu8437.
    https://doi.org/10.1126/sciadv.adu8437Systèmes complexes, vieillissement, physiologie et écologie
99. 2025
    Franck M, Tanner KT, Tennyson RL, et al. 'Nonuniversality of inflammaging across human populations.' Nature Aging 5 (2025): 1471-1480.
    https://doi.org/10.1038/s43587-025-00888-0Systèmes complexes, vieillissement, physiologie et écologie
100. 2025
     Cummings SR, Hong N, Cohen AA. 'Entropy and Human Aging.' Aging Cell 24 (2025): e70292.
     https://doi.org/10.1111/acel.70292Systèmes complexes, vieillissement, physiologie et écologie
101. 2025
     Devine J, Monzel AS, Shire D, et al. 'Brain-body mitochondrial distribution patterns lack coherence and point to tissue-specific regulatory mechanisms.' Life Metabolism 4 (2025): loaf012.
     https://doi.org/10.1093/lifemeta/loaf012Systèmes complexes, vieillissement, physiologie et écologie
105. 2026
     Yoshua Bengio et al. International AI Safety Report 2026. February 2026.
     https://internationalaisafetyreport.org/publication/international-ai-safety-report-2026Alignement de l’IA, apprentissage, évaluation et contrôle
112. 2026
     OpenAI. “How we monitor internal coding agents for misalignment.” March 19, 2026.
     https://openai.com/index/how-we-monitor-internal-coding-agents-misalignment/Alignement de l’IA, apprentissage, évaluation et contrôle
113. 2026
     Judy Hanwen Shen et al. 'AI Organizations are More Effective but Less Aligned than Individual Agents.' arXiv:2604.10290, 2026.
     https://arxiv.org/abs/2604.10290Coopération humain–IA, valeurs et gouvernance
114. 2026
     Tina Comes. “Sensemaking AI: Introducing a research and design agenda for human–AI networks.” EPJ Data Science 15, 42, 2026. DOI: 10.1140/epjds/s13688-026-00634-5.
     https://doi.org/10.1140/epjds/s13688-026-00634-5Coopération humain–IA, valeurs et gouvernance
116. 2026
     Federico Pierucci et al. “Institutional AI: A Governance Framework for Distributional AGI Safety.” arXiv:2601.10599, 2026.
     https://arxiv.org/abs/2601.10599Coopération humain–IA, valeurs et gouvernance
121. 2026
     RC Concept Map v0.2. User-supplied conceptual map, September 2026.
     Aucun lien direct en ligne indiquéManuscrits, cadres et logiciels du projet
122. 2026
     Full Connected Reflexive-Control Graph v5. User-supplied applied/runtime framework, September 2026; case-specific actors excluded from the generic architecture.
     Aucun lien direct en ligne indiquéManuscrits, cadres et logiciels du projet
123. 2026
     IPS Mycelial Alignment v0.2. User-supplied/generated working architecture, September 2026.
     Aucun lien direct en ligne indiquéManuscrits, cadres et logiciels du projet
133. 2026
     Aronoff JE, Franck M, Cohen AA, Trumble BC. 'Evidence for an energy conservation model of inflammaging and immunosenescence in the US Health and Retirement Study and UK Biobank.' Journals of Gerontology: Series A 81 (2026): glag119.
     https://doi.org/10.1093/gerona/glag119Systèmes complexes, vieillissement, physiologie et écologie

Le travail est discuté dans une revue générale. Son inclusion n’en fait pas une dépendance directe de l’implantation.

14. 2004
    Cohen AA. “Female post-reproductive lifespan: a general mammalian trait.” Biological Reviews 79 (2004): 733–750.
    https://doi.org/10.1017/S1464793103006432Systèmes complexes, vieillissement, physiologie et écologie
19. 2008
    Cohen AA, et al. “Interspecific associations between circulating antioxidant levels and life-history variation in birds.” American Naturalist 172 (2008): 178–193.
    https://doi.org/10.1086/589456Systèmes complexes, vieillissement, physiologie et écologie
32. 2015
    Cohen AA, et al. “Detection of a novel, integrative aging process suggests complex physiological integration.” PLoS ONE 10 (2015): e0116489.
    https://doi.org/10.1371/journal.pone.0116489Systèmes complexes, vieillissement, physiologie et écologie
33. 2015
    Cohen AA. “Physiological and comparative evidence fails to confirm an adaptive role for aging in evolution.” Current Aging Science 8 (2015): 14–23.
    https://doi.org/10.2174/1874609808666150422124332Systèmes complexes, vieillissement, physiologie et écologie
40. 2017
    Dylan Hadfield-Menell et al. “The Off-Switch Game.” IJCAI 2017, 220–227.
    https://www.ijcai.org/Proceedings/2017/32Coopération humain–IA, valeurs et gouvernance
41. 2017
    Smitha Milli et al. “Should Robots be Obedient?” IJCAI 2017, 4754–4760.
    https://www.ijcai.org/proceedings/2017/662Coopération humain–IA, valeurs et gouvernance
142. 2017
     Ghalib A. Bello and Gerard Dumancas. “A Random Forest-Induced Distance-Based Measure of Physiological Dysregulation.” Current Aging Science 10(4), 270–281, 2017. DOI: 10.2174/1874609810666170117155756.
     https://pubmed.ncbi.nlm.nih.gov/28103780/Systèmes complexes, vieillissement, physiologie et écologie
43. 2018
    Jan Leike et al. “Scalable agent alignment via reward modeling: a research direction.” arXiv:1811.07871, 2018.
    https://arxiv.org/abs/1811.07871Alignement de l’IA, apprentissage, évaluation et contrôle
44. 2018
    Geoffrey Irving, Paul Christiano & Dario Amodei. “AI Safety via Debate.” 2018.
    https://openai.com/index/debate/Alignement de l’IA, apprentissage, évaluation et contrôle
45. 2018
    Paul Christiano. Iterated Amplification research sequence. 2018.
    https://www.alignmentforum.org/s/EmDuGeRw749sD3GKdAlignement de l’IA, apprentissage, évaluation et contrôle
46. 2018
    Jacob W. Crandall et al. “Cooperating with machines.” Nature Communications 9, 233, 2018. DOI: 10.1038/s41467-017-02597-8.
    https://www.nature.com/research/papers/s41467-017-02597-8Coopération humain–IA, valeurs et gouvernance
49. 2019
    Evan Hubinger et al. “Risks from Learned Optimization in Advanced Machine Learning Systems.” arXiv:1906.01820, 2019.
    https://arxiv.org/abs/1906.01820Alignement de l’IA, apprentissage, évaluation et contrôle
50. 2019
    Dansereau G, et al. “Conservation of physiological dysregulation signatures of aging across primates.” Aging Cell 18 (2019): e12925.
    https://doi.org/10.1111/acel.12925Systèmes complexes, vieillissement, physiologie et écologie
51. 2019
    Wey TW, et al. “An Emergent Integrated Aging Process Conserved Across Primates.” Journal of Gerontology: Biological Sciences 74 (2019): 1689–1698.
    https://doi.org/10.1093/gerona/glz110Systèmes complexes, vieillissement, physiologie et écologie
56. 2021
    Alexander M. Turner et al. “Optimal Policies Tend To Seek Power.” NeurIPS 2021.
    https://proceedings.neurips.cc/paper/2021/file/c26820b8a4c1b3c2aa868d6d57e14a79-Paper.pdfAlignement de l’IA, apprentissage, évaluation et contrôle
60. 2022
    Long Ouyang et al. “Training language models to follow instructions with human feedback.” NeurIPS 2022.
    https://proceedings.neurips.cc/paper_files/paper/2022/hash/b1efde53be364a73914f58805a001731-Abstract.htmlAlignement de l’IA, apprentissage, évaluation et contrôle
61. 2022
    Yuntao Bai et al. “Constitutional AI: Harmlessness from AI Feedback.” arXiv:2212.08073, 2022.
    https://arxiv.org/abs/2212.08073Alignement de l’IA, apprentissage, évaluation et contrôle
65. 2023
    Rafael Rafailov et al. “Direct Preference Optimization: Your Language Model is Secretly a Reward Model.” NeurIPS 2023.
    https://proceedings.neurips.cc/paper_files/paper/2023/hash/a85b405ed65c6477a4fe8302b5e06ce7-Abstract-Conference.htmlAlignement de l’IA, apprentissage, évaluation et contrôle
66. 2023
    Mrinank Sharma et al. “Towards Understanding Sycophancy in Language Models.” arXiv:2310.13548, 2023.
    https://arxiv.org/abs/2310.13548Alignement de l’IA, apprentissage, évaluation et contrôle
67. 2023
    Hao Guo et al. “Facilitating cooperation in human-agent hybrid populations through autonomous agents.” iScience 26(11), 108179, 2023. DOI: 10.1016/j.isci.2023.108179.
    https://www.sciencedirect.com/science/article/pii/S2589004223022563Coopération humain–IA, valeurs et gouvernance
69. 2024
    Rafael Rafailov et al. “Scaling Laws for Reward Model Overoptimization in Direct Alignment Algorithms.” NeurIPS 2024.
    https://proceedings.neurips.cc/paper_files/paper/2024/hash/e45caa3d5273d105b8d045e748636957-Abstract-Conference.htmlAlignement de l’IA, apprentissage, évaluation et contrôle
71. 2024
    Evan Hubinger et al. “Sleeper Agents: Training Deceptive LLMs that Persist Through Safety Training.” arXiv:2401.05566, 2024.
    https://arxiv.org/abs/2401.05566Alignement de l’IA, apprentissage, évaluation et contrôle
72. 2024
    Ryan Greenblatt et al. “Alignment faking in large language models.” arXiv:2412.14093, 2024.
    https://arxiv.org/abs/2412.14093Alignement de l’IA, apprentissage, évaluation et contrôle
73. 2024
    Anthropic. “Sycophancy to subterfuge: Investigating reward tampering in language models.” 2024.
    https://www.anthropic.com/research/reward-tamperingAlignement de l’IA, apprentissage, évaluation et contrôle
82. 2025
    Jiaming Ji et al. “AI Alignment: A Contemporary Survey.” ACM Computing Surveys 58(5), Article 132, 2025. DOI: 10.1145/3770749.
    https://doi.org/10.1145/3770749Alignement de l’IA, apprentissage, évaluation et contrôle
83. 2025
    Elle. “Reward Model Perspectives: Whose Opinions Do Reward Models Reward?” EMNLP 2025. DOI: 10.18653/v1/2025.emnlp-main.754.
    https://aclanthology.org/2025.emnlp-main.754/Coopération humain–IA, valeurs et gouvernance
84. 2025
    Zihao Li et al. “Not All Voices Are Rewarded Equally: Probing and Repairing Reward Models across Human Diversity.” Findings of EMNLP 2025. DOI: 10.18653/v1/2025.findings-emnlp.183.
    https://aclanthology.org/2025.findings-emnlp.183/Coopération humain–IA, valeurs et gouvernance
86. 2025
    Tan Zhi-Xuan, Micah Carroll, Matija Franklin & Hal Ashton. “Beyond Preferences in AI Alignment.” Philosophical Studies 182, 1813–1863, 2025. DOI: 10.1007/s11098-024-02249-w.
    https://link.springer.com/article/10.1007/s11098-024-02249-wCoopération humain–IA, valeurs et gouvernance
88. 2025
    Jon Kutasov et al. “Evaluating Control Protocols for Untrusted AI Agents.” arXiv:2511.02997, 2025.
    https://arxiv.org/abs/2511.02997Alignement de l’IA, apprentissage, évaluation et contrôle
89. 2025
    Aidan Kierans et al. “Quantifying Misalignment Between Agents: Towards a Sociotechnical Understanding of Alignment.” AAAI 2025. DOI: 10.1609/aaai.v39i26.34947.
    https://ojs.aaai.org/index.php/AAAI/article/view/34947Coopération humain–IA, valeurs et gouvernance
91. 2025
    Dahlgren Lindström et al. “Helpful, harmless, honest? Sociotechnical limits of AI alignment and safety through Reinforcement Learning from Human Feedback.” Ethics and Information Technology 27, 2025. DOI: 10.1007/s10676-025-09837-2.
    https://doi.org/10.1007/s10676-025-09837-2Coopération humain–IA, valeurs et gouvernance
102. 2025
     Provost G, Tanner K, Legault V, et al. “No winners or losers: clinical chemistry-based biological aging metrics perform similarly across cohorts and health outcomes.” Journals of Gerontology: Series A 80 (2025): glaf179.
     https://doi.org/10.1093/gerona/glaf179Systèmes complexes, vieillissement, physiologie et écologie
104. 2026
     Loukas Triantafyllopoulos et al. “The value alignment problem in advisory AI: a systematic literature review.” AI and Ethics 6, 147, 2026. DOI: 10.1007/s43681-026-01015-4.
     https://doi.org/10.1007/s43681-026-01015-4Coopération humain–IA, valeurs et gouvernance
106. 2026
     Dalia Ali et al. “Operationalizing Pluralistic Values in Large Language Model Alignment Reveals Trade-offs in Safety, Inclusivity, and Model Behavior.” AAAI 2026. DOI: 10.1609/aaai.v40i44.41053.
     https://ojs.aaai.org/index.php/AAAI/article/view/41053Coopération humain–IA, valeurs et gouvernance
107. 2026
     Vijay Keswani et al. “Moral Change or Noise? On Problems of Aligning AI with Temporally Unstable Human Feedback.” AAAI 2026. DOI: 10.1609/aaai.v40i44.41083.
     https://ojs.aaai.org/index.php/AAAI/article/view/41083Coopération humain–IA, valeurs et gouvernance
108. 2026
     Max Kanwal & Caryn Tran. “Constructive Alignment: Governing Preference Dynamics in Human-AI Interaction.” arXiv:2607.00001, 2026.
     https://arxiv.org/abs/2607.00001Coopération humain–IA, valeurs et gouvernance
109. 2026
     Richard Qi et al. “Training a Misaligned Reward Seeker.” Anthropic Alignment Science, August 2026.
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110. 2026
     Jan Betley et al. “Training large language models on narrow tasks can lead to broad misalignment.” Nature 649, 584–589, 2026.
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111. 2026
     Mikhail Terekhov et al. “Adaptive Attacks on Trusted Monitors Subvert AI Control Protocols.” ICLR 2026.
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115. 2026
     Nick Hagar & Nicholas Diakopoulos. “Runtime configuration for situated governance of AI agents: a case study in investigative journalism.” AI and Ethics 6, 456, 2026. DOI: 10.1007/s43681-026-01298-7.
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117. 2026
     Rui Chai. “Alignment as Institutional Design: From Behavioral Correction to Transaction Structure in Intelligent Systems.” arXiv:2604.13079, 2026.
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118. 2026
     Rakshit S. Trivedi et al. “Solipsistic Superintelligence is Unlikely to be Cooperative.” Google DeepMind / arXiv:2606.03237, 2026.
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119. 2026
     Yuting Ning et al. “When Actions Go Off-Task: Detecting and Correcting Misaligned Actions in Computer-Use Agents.” arXiv:2602.08995, 2026.
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120. 2026
     Chris Duffey. “Admissibility Alignment.” arXiv:2601.01816, 2026.
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134. 2026
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135. 2026
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136. 2026
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137. 2026
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138. 2026
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Sources associées au théorème d’essaim, aux mathématiques connexes ou à la documentation du projet. Elles ne valident pas indépendamment RETA.

13. 2004
    S. Boyd and L. Vandenberghe. Convex Optimization. Cambridge University Press, 2004.
    https://web.stanford.edu/~boyd/cvxbook/Systèmes distribués, consensus et fondements mathématiques
18. 2007
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36. 2016
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53. 2020
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57. 2021
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58. 2021
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68. 2023
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8. 2024
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77. 2024
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124. 2026
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125. 2026
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126. 2026
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Sources conservées pour l’histoire intellectuelle de l’auteur. Aucun lien direct avec le code actuel n’est affirmé.

1. 1935
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2. 1939
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4. 1973
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10. 1999
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    Aucun lien direct en ligne indiquéCulture informationnelle, propagande et jugement humain
11. 2000
    Association of College and Research Libraries. Information Literacy Competency Standards for Higher Education. 2000.
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12. 2001
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15. 2004
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16. 2005
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20. 2010
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21. 2010
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22. 2011
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23. 2011
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    Aucun lien direct en ligne indiquéCulture informationnelle, propagande et jugement humain
27. 2013
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    Aucun lien direct en ligne indiquéCulture informationnelle, propagande et jugement humain
28. 2013
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34. 2015
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38. 2016
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39. 2016
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48. 2018
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Aucune utilisation individuelle n’a été retracée dans les documents examinés. Cette lacune de traçabilité ne prouve ni une absence de lecture ni une absence d’influence.

35. 2016
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75. 2024
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    https://arxiv.org/abs/2404.14082Alignement de l’IA, apprentissage, évaluation et contrôle
80. 2024
    Li Q, et al. “Physiological Dysregulation Proceeds and Predicts Health Outcomes Similarly in Chinese and Western Populations.” Journals of Gerontology: Series A 79 (2024): glad146.
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81. 2024
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    https://doi.org/10.1093/gerona/glae210Systèmes complexes, vieillissement, physiologie et écologie
92. 2025
    Anthropic. “Auditing language models for hidden objectives.” March 2025.
    https://www.anthropic.com/research/auditing-hidden-objectivesAlignement de l’IA, apprentissage, évaluation et contrôle
93. 2025
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    https://aclanthology.org/2025.emnlp-main.585/Coopération humain–IA, valeurs et gouvernance
103. 2025
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     https://doi.org/10.3803/EnM.2025.2719Systèmes complexes, vieillissement, physiologie et écologie
139. 2026
     Ye Q, et al. “Physiological Age and Homeostatic Dysregulation Following Child Maltreatment in Youth.” Molecular Psychiatry (2026).
     https://doi.org/10.1038/s41380-026-03642-zSystèmes complexes, vieillissement, physiologie et écologie

Renseignements biographiques ou institutionnels; aucune preuve scientifique en faveur du modèle.

140. Sans date
     Columbia University Mailman School of Public Health. “Alan Cohen, PhD.”
     https://www.publichealth.columbia.edu/profile/alan-cohen-phdSystèmes complexes, vieillissement, physiologie et écologie
141. Sans date
     Columbia University Mailman School of Public Health. “Cohen Lab on Aging, Systems and Statistics.”
     https://www.publichealth.columbia.edu/research-labs/cohen-lab-aging-systems-statisticsSystèmes complexes, vieillissement, physiologie et écologie

Provenance logicielle, distincte d’un appui scientifique.

132. 2026
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     https://openai.com/codex/Manuscrits, cadres et logiciels du projet