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C. Gershenson, Improving Urban Mobility by Understanding Its Complexity, in The Pursuit of Legible Policy: Encouraging Agency and Participation in the Complex Systems of the Contemporary Megalopolis, Mexico City, Mexico: {Buró–Buró, 2016, pp. 149–151.
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.
C. Gershenson, Reviving the Living: Meaning Making in Living Systems. Yair Neuman. (2008, Elsevier, Studies in Multidisciplinarity, Vol. 6). $197 (hardbound), 320 pages., Artificial Life, vol. 17, pp. 145-146, 2011.
C. Gershenson, Philosophical Ideas on the Simulation of Social Behaviour, Journal of Artificial Societies and Social Simulation, vol. 5, 2002.
T. Froese, J. Siqueiros, M., Aguilar, W., Izquierdo, E. J., Sayama, H., and Gershenson, C., Introduction, in Proceedings of the Artificial Life Conference 2016, 2016, pp. 3–9.PDF icon 42-ALifeXV-Intro.pdf (681.92 KB)
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.
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, 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)
N. Fernández, Aguilar, J., Gershenson, C., and Terán, O., Sistemas Dinámicos como Redes Computacionales de Agentes para la evaluación de sus Propiedades Emergentes., in II Simposio Cient{\'ıfico y Tecnológico en Computación SCTC 2012, Universidad Central de Venezuela, 2012.
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)
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)
K. D. Farnsworth, Nelson, J., and Gershenson, C., Living is Information Processing: From Molecules to Global Systems, Acta Biotheoretica, vol. 61, pp. 203-222, 2013.
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.
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)