Biblio

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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.
Journal Article
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.
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.
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. 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.
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.
C. Gershenson, Cognitive Paradigms: Which One is the Best?, Cognitive Systems Research, vol. 5, pp. 135–156, 2004.
C. Gershenson, ?`{Cómo} hablar de complejidad?, {Llengua, Societat i Comunicació, vol. 11, pp. 14–19, 2013.
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 and Prokopenko, M., Complex Networks, Artificial Life, vol. 17, pp. 259–261, 2011.
C. Gershenson and Fernández, N., Complexity and Information: Measuring Emergence, Self-organization, and Homeostasis at Multiple Scales, Complexity, vol. 18, pp. 29-44, 2012.
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)
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)
C. Gershenson, Computing Networks: A General Framework to Contrast Neural and Swarm Cognitions, Paladyn, Journal of Behavioral Robotics, vol. 1, pp. 147-153, 2010.
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)
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)

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