Biblio

Journal Article
J. L. Zapotecatl, Rosenblueth, D. A., and Gershenson, C., Deliberative Self-Organizing Traffic Lights with Elementary Cellular Automata, Complexity, vol. 2017, p. 7691370, 2017.PDF icon 35-7691370.pdf (6.01 MB)
M. Equihua, Aldama, M. Espinosa, Gershenson, C., López-Corona, O., Munguía, M., Pérez-Maqueo, O., and Ramírez-Carrillo, E., Ecosystem antifragility: beyond integrity and resilience, PeerJ, vol. 8, p. e8533, 2020.
L. A. Escobar, Kim, H., and Gershenson, C., Effects of Antimodularity and Multiscale Influence in Random Boolean Networks, Complexity, vol. 2019, p. 14, 2019.
E. Colman, Holme, P., Sayama, H., and Gershenson, C., Efficient sentinel surveillance strategies for preventing epidemics on networks, PLOS Computational Biology, vol. 15, pp. 1-19, 2019.
C. Gershenson, Epidemiolog{\'ıa y las Redes Sociales, Cirug{\'ıa y Cirujanos, vol. 79, pp. 199-200, 2011.
C. Gershenson and Lenaerts, T., Evolution of Complexity, Artificial Life, vol. 14, pp. 1–3, 2008.
C. A. Piña-García, Gu, D., Gershenson, C., J. Siqueiros-García, M., and Robles-Belmont, E., Exploring Dynamic Environments Using Stochastic Search Strategies, Research in Computing Science, vol. 121, pp. 43–57, 2016.PDF icon 14-Exploring Dynamic Environments Using Stochastic Search Strategies.pdf (764.5 KB)
S. Mityagin, Gershenson, C., and Boukhanovsky, A., Forecasting of Population Narcotization under the Implementation of a Drug Use Reduction Policy, Complexity, vol. 2020, pp. 1–14, 2020.
C. A. Piña-García, J. Siqueiros-García, M., Robles-Belmont, E., Carreón, G., Gershenson, C., and López, J. Amador Dí, From neuroscience to computer science: a topical approach on Twitter, Journal of Computational Social Science, vol. 1, pp. 187–208, 2018.
J. A. Morales, Sánchez, S., Flores, J., Pineda, C., Gershenson, C., Cocho, G., Zizumbo, J., Rodríguez, R. F., and Iñiguez, G., Generic temporal features of performance rankings in sports and games, EPJ Data Science, vol. 5, p. 33, 2016.PDF icon 33-rankDiversitySports.pdf (3.16 MB)
C. Gershenson, Guiding the Self-Organization of Cyber-Physical Systems, Frontiers in Robotics and AI, vol. 7, p. 41, 2020.
C. Gershenson, Guiding the Self-organization of Random Boolean Networks, Theory in Biosciences, vol. 131, pp. 181-191, 2012.
C. Gershenson, Harnessing the Complexity of Education with Information Technology, Complexity, vol. 20, pp. 13–16, 2015.PDF icon 24-eduCx.pdf (146.08 KB)
C. Gershenson, The Implications of Interactions for Science and Philosophy, Foundations of Science, vol. Early View, 2013.
G. Carreón, Gershenson, C., and Pineda, L. A., Improving public transportation systems with self-organization: A headway-based model and regulation of passenger alighting and boarding, PLOS ONE, vol. 12, pp. 1-20, 2017.PDF icon 37-journal.pone_.0190100.pdf (16.96 MB)
Y. Kolokoltsev, Ivashko, E., and Gershenson, C., Improving ``tail'' computations in a BOINC-based Desktop Grid, Open Engineering, vol. 7, pp. 371-378, 2017.
C. Gershenson, Info-computationalism or Materialism? Neither and Both, Constructivist Foundations, vol. 9, pp. 241–242, 2014.
H. Zenil, Gershenson, C., Marshall, J. A. R., and Rosenblueth, D. A., Life as Thermodynamic Evidence of Algorithmic Structure in Natural Environments, Entropy, vol. 14, pp. 2173–2191, 2012.
C. Gershenson, Live Evolving: Molecules, Mind, and Meaning. Christian De Duve. (2003, Oxford University Press.) Hardback, £25, $39. 358 pages, Artificial Life, vol. 13, pp. 91-92, 2007.
C. Gershenson, Living in Living Cities, Artificial Life, vol. In Press, 2013.PDF icon LivingCities.pdf (362.17 KB)
K. D. Farnsworth, Nelson, J., and Gershenson, C., Living is Information Processing: From Molecules to Global Systems, Acta Biotheoretica, vol. 61, pp. 203-222, 2013.
F. Heylighen and Gershenson, C., The Meaning of Self-Organization in Computing, IEEE Intelligent Systems, pp. 72–75, 2003.
M. Amoretti and Gershenson, C., Measuring the complexity of adaptive peer-to-peer systems, Peer-to-Peer Networking and Applications, pp. 1-16, 2015.
G. Santamaría-Bonfil, Fernández, N., and Gershenson, C., Measuring the Complexity of Continuous Distributions, Entropy, vol. 18, p. 72, 2016.PDF icon 31-entropy-18-00072.pdf (700.97 KB)
D. Zubillaga, Cruz, G., Aguilar, L. Daniel, Zapotécatl, J., Fernández, N., Aguilar, J., Rosenblueth, D. A., and Gershenson, C., Measuring the Complexity of Self-organizing Traffic Lights, Entropy, vol. 16, pp. 2384–2407, 2014.

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