Biblio

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Journal Article
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”, Artificial Life, vol. 14, pp. 1–3, 2008.
C. Gershenson, “Epidemiolog{\'ıa y las Redes Sociales”, Cirug{\'ıa y Cirujanos, vol. 79, pp. 199-200, 2011.
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.
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)
C. Gershenson, “Computing Networks: A General Framework to Contrast Neural and Swarm Cognitions”, Paladyn, Journal of Behavioral Robotics, vol. 1, pp. 147-153, 2010.
N. Fernández, Aguilar, J., Piña-García, C. A., and Gershenson, C., “Complexity of lakes in a latitudinal gradient”, Ecological Complexity, vol. 31, pp. 1–20, 2017.PDF icon 34-CxLakes.pdf (4.99 MB)
G. Febres, Jaffe, K., and Gershenson, C., “Complexity measurement of natural and artificial languages”, Complexity, vol. 20, pp. 25–48, 2015.PDF icon 23-NatArtLang.pdf (3.01 MB)
C. Gershenson and Fernández, N., “Complexity and Information: Measuring Emergence, Self-organization, and Homeostasis at Multiple Scales”, Complexity, vol. 18, pp. 29-44, 2012.
C. Gershenson and Prokopenko, M., “Complex Networks”, Artificial Life, vol. 17, pp. 259–261, 2011.
C. Gershenson, “Complejidad, Tecnología y Sociedad”, Investigación y Ciencia, vol. 460, pp. 48-54, 2015.PDF icon 08-NIYC0115_48-54.pdf (689.58 KB)
C. Gershenson, “?`{Cómo} hablar de complejidad?”, {Llengua, Societat i Comunicació, vol. 11, pp. 14–19, 2013.
C. Gershenson, “Cognitive Paradigms: Which One is the Best?”, Cognitive Systems Research, vol. 5, pp. 135–156, 2004.
T. Froese, Gershenson, C., and Manzanilla, L. R., “Can Government Be Self-Organized? A Mathematical Model of the Collective Social Organization of Ancient {Teotihuacan}, Central {Mexico}”, PLoS ONE, vol. 9, p. e109966, 2014.
J. C. Valverde, Mortveit, H. S., Gershenson, C., and Shi, Y., “Boolean Networks and Their Applications in Science and Engineering”, Complexity, vol. 2020, p. 3, 2020.
A. María Hernández-Hernández, Siqueiros-García, J. M., Robles-Belmont, E., and Gershenson, C., “Anger while driving in Mexico City”, PLOS ONE, vol. 14, pp. 1-20, 2019.
J. M. Siqueiros-García, Froese, T., Gershenson, C., Aguilar, W., Sayama, H., and Izquierdo, E., “ALife and Society: Editorial Introduction to the Artificial Life Conference 2016 Special Issue”, Artificial Life, vol. 24, pp. 1–4, 2018.
C. Gershenson and Rosenblueth, D. A., “Adaptive self-organization vs. static optimization: A qualitative comparison in traffic light coordination”, Kybernetes, vol. 41, pp. 386-403, 2012.
Conference Proceedings
O. Zapata, Kim, H., and Gershenson, C., “On two information-theoretic measures of random fuzzy networks”, Artificial Life Conference Proceedings, vol. 32. pp. 623–625, 2020.
N. Fernández, Rivera, V., and Gershenson, C., “Sistemas con Dinámica Acoplada y Redes de Defensa y Ataque: Representación de las Interacciones en Juegos de Competición”, 8 Congreso Internacional en Ciencias del Deporte. Pachuca, México, 2019.PDF icon Sistemas con Dinámica Acoplada y Redes de Defensa y Ataque.pdf (281.28 KB)
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)
Conference Paper
C. Gershenson and Heylighen, F., “When Can We Call a System Self-Organizing?”, in Advances in Artificial Life, 7th European Conference, {ECAL} 2003 {LNAI} 2801, Berlin, 2003, pp. 606–614.

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