Biblio

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Book Chapter
N. Fernández, Maldonado, C., and Gershenson, C., “Information Measures of Complexity, Emergence, Self-organization, Homeostasis, and Autopoiesis”, in Guided Self-Organization: Inception, M. Prokopenko, Ed. Springer, 2014, pp. 19-51.PDF icon InfoGSO.pdf (13.3 MB)
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.
R. { Poblanno-Balp} and Gershenson, C., “Modular Random {Boolean} Networks”, in {Artificial Life XII} Proceedings of the Twelfth International Conference on the Synthesis and Simulation of Living Systems, H. Fellermann, Dörr, M., Hanczyc, M. M., Laursen, L. Ladegaard, Maurer, S., Merkle, D., Monnard, P. - A., St$ø$y, K., and Rasmussen, S., Eds. Odense, Denmark: MIT Press, 2010, pp. 303-304.
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.
C. Gershenson, “Self-organizing urban transportation systems”, in Complexity Theories of Cities Have Come of Age: An Overview with Implications to Urban Planning and Design, J. Portugali, Meyer, H., Stolk, E., and Tan, E., Eds. Berlin Heidelberg: Springer, 2012, pp. 269-279.
Conference Paper
C. Gershenson, “Behaviour-Based Knowledge Systems: An Epigenetic Path from Behaviour to Knowledge”, in Proceedings of the 2nd Workshop on Epigenetic Robotics, Edinburgh, Scotland, 2002, vol. 94, pp. 35–41.
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.
A. Das, Marko, M., Probst, A., Porter, M. A., and Gershenson, C., “Neural Net Model for Featured Word Extraction”, in InterJournal of Complex Systems, 2002.
A. Das, Marko, M., Probst, A., Porter, M. A., and Gershenson, C., “Neural Net Model for Featured Word Extraction”, in InterJournal of Complex Systems, 2002.
C. Gershenson, “Updating Schemes in Random {Boolean} Networks: Do They Really Matter?”, in Artificial Life {IX} Proceedings of the Ninth International Conference on the Simulation and Synthesis of Living Systems, 2004, pp. 238–243.
Journal Article
C. Gershenson and Prokopenko, M., “Complex Networks”, Artificial Life, vol. 17, pp. 259–261, 2011.
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)
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.
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, 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)
C. Gershenson, Meza, I. V., Avilés, H., and Pineda, L. A., “Mechanical Love. Phie Ambo. (2009, Icarus Films.) $390, 52 min.”, Artificial Life, vol. 16, pp. 269-270, 2010.
R. { Poblanno-Balp} and Gershenson, C., “Modular Random {Boolean} Networks”, Artificial Life, vol. 17, pp. 331–351, 2011.
H. Kim, Pineda, O. K., and Gershenson, C., “A Multilayer Structure Facilitates the Production of Antifragile Systems in Boolean Network Models”, Complexity, vol. 2019, p. 11, 2019.
O. K. Pineda, Kim, H., and Gershenson, C., “A Novel Antifragility Measure Based on Satisfaction and Its Application to Random and Biological Boolean Networks”, Complexity, vol. 2019, p. 10, 2019.
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.
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.
C. A. Piña-García, Gershenson, C., and J. Siqueiros-García, M., “Towards a Standard Sampling Methodology on Online Social Networks: Collecting Global Trends on Twitter”, Applied Network Science, vol. 1, p. 3, 2016.PDF icon 13-SamplingTwitter.pdf (2.24 MB)

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