- Apr 2023
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beiner.substack.com beiner.substack.com
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Daniel Schmachtenberger has spoken at length about the ‘generator functions’ of existential risk, in essence the deeper driving causes.
Definition - generator function of existential risk - the deeper driving cause of existential risk - two examples of deep causes - rivalrous dynamics - complicated systems consuming their complex substrate
Claim - Alexander Beiner claims that - the generator function of these generator functions is physicalism
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- Nov 2022
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library.oapen.org library.oapen.org
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Modern science is, to a large extent, a model-building activity. In the natural and engineering sciences as well as in the social sciences, models are constructed, tested and revised, they are compared with other models, applied, interpreted and sometimes rejected or replaced by a better model.
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- Jun 2022
- Jan 2022
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psyarxiv.com psyarxiv.com
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Chambon, M., Kammeraad, W., Harreveld, F. van, Dalege, J., Elberse, J., & Maas, H. van der. (2022). Why COVID-19 vaccination intention is so hard to change: A longitudinal study. PsyArXiv. https://doi.org/10.31234/osf.io/b9qrj
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- Jul 2021
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Ingale, M., & Shekatkar, S. M. (2020). Resource dependency and survivability in complex networks. Physical Review E, 102(6), 062304. https://doi.org/10.1103/PhysRevE.102.062304
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- Apr 2021
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psyarxiv.com psyarxiv.com
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Chambon, Monique, Jonas Dalege, Lourens Waldorp, Han van der Maas, Denny Borsboom, and Frenk van Harreveld. ‘A Complex Systems Perspective on Compliance with Behavioral Measures during the COVID-19 Pandemic in the Netherlands: How Psychological Networks Can Inform Interventions.’ PsyArXiv, 31 March 2021. https://doi.org/10.31234/osf.io/fmu9w.
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- Mar 2021
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Wang, Xiangrong, Alejandro Tejedor, Yi Wang, and Yamir Moreno. ‘Unique Superdiffusion Induced by Directionality in Multiplex Networks’. ArXiv:2011.00991 [Physics], 2 November 2020. http://arxiv.org/abs/2011.00991.
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- Oct 2020
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Ghavasieh, A., Nicolini, C., & De Domenico, M. (2020). Statistical physics of complex information dynamics. ArXiv:2010.04014 [Cond-Mat, Physics:Physics]. http://arxiv.org/abs/2010.04014
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- Aug 2020
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link.aps.org link.aps.org
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Perez, I. A., Di Muro, M. A., La Rocca, C. E., & Braunstein, L. A. (2020). Disease spreading with social distancing: A prevention strategy in disordered multiplex networks. Physical Review E, 102(2), 022310. https://doi.org/10.1103/PhysRevE.102.022310
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-
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Young, J.-G., Cantwell, G. T., & Newman, M. E. J. (2020). Robust Bayesian inference of network structure from unreliable data. ArXiv:2008.03334 [Physics, Stat]. http://arxiv.org/abs/2008.03334
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- Jul 2020
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nautil.us nautil.us
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West, D. K. & G. (2020, July 8). The Damage We’re Not Attending To. Nautilus. http://nautil.us/issue/87/risk/the-damage-were-not-attending-to
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psyarxiv.com psyarxiv.com
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Chambon, M., Dalege, J., Elberse, J., & van Harreveld, F. (2020). A psychological network approach to factors related to preventive behaviors during pandemics: A European COVID-19 study [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/es45v
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- Jun 2020
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behavioralscientist.org behavioralscientist.org
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Gauri, V. (2020 April 30). Behavioral Public Policy Faces a Crisis. Behavioral Scientist. https://behavioralscientist.org/behavioral-public-policy-faces-a-crisis/
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-
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Murphy, C., Laurence, E., & Allard, A. (2020). Deep learning of stochastic contagion dynamics on complex networks. ArXiv:2006.05410 [Cond-Mat, Physics:Physics, Stat]. http://arxiv.org/abs/2006.05410
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academic.oup.com academic.oup.com
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Marshall, B. D. L., & Galea, S. (2015). Formalizing the Role of Agent-Based Modeling in Causal Inference and Epidemiology. American Journal of Epidemiology, 181(2), 92–99. https://doi.org/10.1093/aje/kwu274
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iopscience.iop.org iopscience.iop.org
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Parisi, F., Squartini, T., & Garlaschelli, D. (2020). A faster horse on a safer trail: Generalized inference for the efficient reconstruction of weighted networks. New Journal of Physics, 22(5), 053053. https://doi.org/10.1088/1367-2630/ab74a7
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Torres, L., Blevins, A. S., Bassett, D. S., & Eliassi-Rad, T. (2020). The why, how, and when of representations for complex systems. ArXiv:2006.02870 [Cs, q-Bio]. http://arxiv.org/abs/2006.02870
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iaciac.github.io iaciac.github.io
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Iacopini, I. (2020, June 3). Networks beyond pairwise interactions: Structure and dynamics. Iacopo Iacopini. https://iaciac.github.io/post/beyond/
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-
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Mariani, M. S., & Lü, L. (2020). Network-based ranking in social systems: Three challenges. Journal of Physics: Complexity, 1(1), 011001. https://doi.org/10.1088/2632-072X/ab8a61
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Eroglu, D. (2020). Revealing Dynamics, Communities, and Criticality from Data. Physical Review X, 10(2). https://doi.org/10.1103/PhysRevX.10.021047
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- May 2020
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www.futurelearn.com www.futurelearn.com
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FutureLearn. Pandemics, Modelling, and Policy—Online Course. https://www.futurelearn.com/courses/pandemics-modelling-and-policy
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apolitical.co apolitical.co
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Complex systems thinking is being used for policymaking. Is it the future? (2018, October 25). https://apolitical.co/en/solution_article/complex-systems-thinking-policymaking
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psyarxiv.com psyarxiv.com
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Olthof, M., Hasselman, F., & Lichtwarck-Aschoff, A. (2020, May 1). Complexity In Psychological Self-Ratings: Implications for research and practice. Retrieved from psyarxiv.com/fbta8
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- Apr 2020
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www.pnas.org www.pnas.org
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Stavroglou, S. K., Pantelous, A. A., Stanley, H. E., & Zuev, K. M. (2020). Unveiling causal interactions in complex systems. Proceedings of the National Academy of Sciences, 117(14), 7599–7605. https://doi.org/10.1073/pnas.1918269117
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arxiv.org arxiv.org
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Crutchfield, J. P. (2020). The Hidden Fragility of Complex Systems—Consequences of Change, Changing Consequences. ArXiv:2003.11153 [Cond-Mat, Physics:Nlin, Physics:Physics]. http://arxiv.org/abs/2003.11153
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- Jun 2016
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www.jstor.org.proxyau.wrlc.org www.jstor.org.proxyau.wrlc.org
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"complex adaptive system."
"the combination of multiple strange loops"
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