Biblio

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H
C. Gershenson and Heylighen, F., “How Can We Think the Complex?”, in Managing Organizational Complexity: Philosophy, Theory and Application, K. Richardson, Ed. Information Age Publishing, 2005, pp. 47–61.
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, “Hacia un sistema de salud autoorganizante y emergente”, in Estado del Arte de la Medicina 2013-2014: Las ciencias de la complejidad y la innovación médica: Aplicaciones, E. Ruelas Barajas and Corona, R. Mansilla, Eds. Mexico: Academia Nacional de Medicina, 2015, pp. 245–254.PDF icon CG-SysSalud.pdf (204.02 KB)
G
C. Gershenson, “Guiding the Self-organization of Random Boolean Networks”, Theory in Biosciences, vol. 131, pp. 181-191, 2012.
C. Gershenson, “Guiding the Self-Organization of Cyber-Physical Systems”, Frontiers in Robotics and AI, vol. 7, p. 41, 2020.
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, “A General Methodology for Designing Self-Organizing Systems”. ECCO, 2006.
F
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.
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. Gershenson, “Facing Complexity: Prediction vs. Adaptation”, in Complexity Perspectives on Language, Communication and Society, A. Massip and Bastardas, A., Eds. Berlin Heidelberg: Springer, 2013, pp. 3-14.
E
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)
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)
C. Gershenson and Lenaerts, T., “Evolution of Complexity: Introduction to the Workshop”, in {ALife X} Workshop Proceedings, 2006, pp. 71–72.
C. Gershenson and Lenaerts, T., “Evolution of Complexity”, Artificial Life, vol. 14, pp. 1–3, 2008.
C. Gershenson, Iñiguez, G., Pineda, C., Guerrero, R., Islas, E., Pineda, O., and Zumaya, M., “Evasión en IVA: Análisis de redes”. 2019.
C. Gershenson, Iñiguez, G., Pineda, C., Guerrero, R., Islas, E., Pineda, O., and Zumaya, M., “Evasión en IVA: Análisis de redes”. 2019.
C. Gershenson, “Epidemiolog{\'ıa y las Redes Sociales”, Cirug{\'ıa y Cirujanos, vol. 79, pp. 199-200, 2011.
C. Gershenson, “Enfrentando a la Complejidad: Predecir vs. Adaptar”, in Complejidad y Lenguaje, X. Martorell and Massip, A., Eds. 2011.
C. Gershenson, “Enfrentando a la Complejidad: Predecir vs. Adaptar”, in Complèxica: cervell, societat i llengua des de la transdisciplinarietat, Barcelona: Universitat de Barcelona, 2015, pp. 25–38.
N. Fernández, Zumaya, M., and Gershenson, C., “El Síndrome de los Datos Ricos e Información Pobre en Deportes de Competición: Perspectiva desde las Ciencias Computacionales y Ciencia de Datos”, 8 Congreso Internacional en Ciencias del Deporte. Pachuca, México, 2019.PDF icon El Síndrome de los Datos Ricos e Información Pobre en Deportes de Competición.pdf (301.32 KB)
C. Gershenson, “El Juego de la Vida En 3D”, in Memorias X Congreso Nacional {ANIEI}, Monterrey, México, 1997.
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.
L. A. Escobar, Kim, H., and Gershenson, C., “Effects of Antimodularity and Multiscale Influence in Random Boolean Networks”, Complexity, vol. 2019, p. 14, 2019.
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.
D
C. Gershenson and González, P. P., “Dynamic Adjustment of the Motivation Degree in an Action Selection Mechanism”, in Proceedings of {ISA} '2000, Wollongong, Australia., 2000.

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