Biblio

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Book Chapter
C. Gershenson, “Complejidad y medicina: perspectivas para el siglo XXI”, in Desafíos para la Salud Pública, M. César Sal Carmona, Ed. CONACYT, AMC, CCC, 2015, pp. 101–111.
F. Heylighen, Cilliers, P., and Gershenson, C., “Complexity and Philosophy”, in Complexity, Science and Society, J. Bogg and Geyer, R., Eds. Oxford: Radcliffe Publishing, 2007, pp. 117-134.
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)
B. Edmonds and Gershenson, C., “Learning, Social Intelligence and the {Turing} Test - why an ``out-of-the-box" {Turing} Machine will not pass the {Turing} Test.”, in How the world computes : Turing Centenary Conference and 8th Conference on Computability in Europe, CiE 2012, Cambridge, UK, June 18-23, 2012. Proceedings, vol. 7318/2012, B. S. Cooper, Dawar, A., and Löwe, B., Eds. Berlin Heidelberg: Springer-Verlag, 2012, pp. 182–192.
N. Fernández and Gershenson, C., “Measuring Complexity in an Aquatic Ecosystem”, in Advances in Computational Biology, vol. 232, L. F. Castillo, Cristancho, M., Isaza, G., Pinzón, A., and Rodríguez, J. Manuel Cor, Eds. Springer, 2014, pp. 83-89.
N. Fernández and Gershenson, C., “Measuring Complexity in an Aquatic Ecosystem”, in Advances in Computational Biology, vol. 232, L. F. Castillo, Cristancho, M., Isaza, G., Pinzón, A., and Rodríguez, J. Manuel Cor, Eds. Springer, 2014, pp. 83-89.
B. Edmonds and Gershenson, C., “Modelling Complexity for Policy: Opportunities and Challenges”, in Handobook on Complexity and Public Policy, R. Geyer and Cairney, P., Eds. Edward Elgar, 2015, pp. 205-220.PDF icon 13-PolicyCx.pdf (358.34 KB)
L. E. Cortés-Berrueco, Gershenson, C., and Stephens, C. R., “Self-organization Promotes the Evolution of Cooperation with Cultural Propagation”, in Self-Organizing Systems, vol. 8221, W. Elmenreich, Dressler, F., and Loreto, V., Eds. Berlin Heidelberg: Springer, 2014, pp. 145-150.
S. Bae Cools, Gershenson, C., and D'Hooghe}, B. {, “Self-organizing traffic lights: A realistic simulation”, in Self-Organization: Applied Multi-Agent Systems, M. Prokopenko, Ed. Springer, 2007, pp. 41–49.
Conference Paper
C. Gershenson, González, P. P., and Negrete, J., “Action Selection Properties in a Software Simulated Agent”, in {MICAI} 2000: Advances in Artificial Intelligence, Acapulco, México, 2000, vol. 1793, pp. 634–648.
C. Gershenson, Broekaert, J., and Aerts, D., “Contextual Random {Boolean} Networks”, in Advances in Artificial Life, 7th European Conference, {ECAL} 2003 {LNAI} 2801, 2003, pp. 615–624.
P. P. González, Cárdenas, M., Gershenson, C., and Lagunez, J., “Integration of Computational Techniques for the Modelling of Signal Transduction”, in Advances in Systems Science: Measurement, Circuits and Control, 2001.
P. P. González, Negrete, J., Barreiro, A., and Gershenson., C., “A Model for Combination of External and Internal Stimuli in the Action Selection of an Autonomous Agent”, in {MICAI} 2000: Advances in Artificial Intelligence, Acapulco, México, 2000, vol. 1793, pp. 621–633.
P. P. González, Gershenson, C., Cárdenas, M., and Lagunez, J., “Modelling Intracellular Signalling Networks Using Behaviour-Based Systems and the Blackboard Architecture”, in Proceedings of the International Conference: Mathematics and Computers in Biology and Chemistry {(MCBC} 2000), Montego Bay, Jamaica, 2000.
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.
Journal Article
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. 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)
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)
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.
C. Gershenson, Csermely, P., Erdi, P., Knyazeva, H., and Laszlo, A., “The Past, Present and Future of Cybernetics and Systems Research”, systema: connecting matter, life, culture and technology, vol. 1, pp. 4–13, 2014.
G. Cocho, Flores, J., Gershenson, C., Pineda, C., and Sánchez, S., “Rank Diversity of Languages: Generic Behavior in Computational Linguistics”, PLoS ONE, vol. 10, p. e0121898, 2015.
J. A. Morales, Colman, E., Sánchez, S., Sánchez-Puig, F., Pineda, C., Iñiguez, G., Cocho, G., Flores, J., and Gershenson, C., “Rank Dynamics of Word Usage at Multiple Scales”, Frontiers in Physics, vol. 6, p. 45, 2018.
J. A. Morales, Colman, E., Sánchez, S., Sánchez-Puig, F., Pineda, C., Iñiguez, G., Cocho, G., Flores, J., and Gershenson, C., “Rank Dynamics of Word Usage at Multiple Scales”, Frontiers in Physics, vol. 6, p. 45, 2018.
G. Cocho, Rodríguez, R. F., Sánchez, S., Flores, J., Pineda, C., and Gershenson, C., “Rank-frequency distribution of natural languages: A difference of probabilities approach”, Physica A: Statistical Mechanics and its Applications, vol. 532, p. 121795, 2019.

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