Biblio

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V. Karbovsk, ii, Voloshin, D., Karsakov, A., Bezgodov, A., and Gershenson, C., Multimodel agent-based simulation environment for mass-gatherings and pedestrian dynamics, Future Generation Computer Systems, p. -, 2016.PDF icon 36-massGatherings.pdf (3.1 MB)
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.
R. { Poblanno-Balp} and Gershenson, C., Modular Random {Boolean} Networks, Artificial Life, vol. 17, pp. 331–351, 2011.
C. Gershenson, Modelling Emotions with Multidimensional Logic, in Proceedings of the 18th International Conference of the North American Fuzzy Information Processing Society {(NAFIPS} '99), New York City, NY, 1999, pp. 42–46.
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)
C. Gershenson and Rosenblueth, D. A., Modeling self-organizing traffic lights with elementary cellular automata. 2009.
D. A. Rosenblueth and Gershenson, C., A model of city traffic based on elementary cellular automata, Complex Systems, vol. 19, pp. 305-322, 2011.
M. Amoretti and Gershenson, C., Measuring the Complexity of Ultra-Large-Scale Evolutionary Systems. 2013.
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.
F. Heylighen and Gershenson, C., The Meaning of Self-Organization in Computing, IEEE Intelligent Systems, pp. 72–75, 2003.
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C. Gershenson, Lógica Multidimensional: Un Modelo de Lógica Paraconsistente, in Memorias {XI} Congreso Nacional {ANIEI}, Xalapa, México, 1998, pp. 132–141.
C. Gershenson, Living in Living Cities, Artificial Life, vol. In Press, 2013.PDF icon LivingCities.pdf (362.17 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.
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C. Gershenson, Introduction to Random {Boolean} Networks, in Workshop and Tutorial Proceedings, Ninth International Conference on the Simulation and Synthesis of Living Systems {(ALife} {IX)}, Boston, MA, 2004, pp. 160–173.
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)
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)
C. Gershenson, Info-computationalism or Materialism? Neither and Both, Constructivist Foundations, vol. 9, pp. 241–242, 2014.
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, The Implications of Interactions for Science and Philosophy, Foundations of Science, vol. Early View, 2013.
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C. Gershenson and Heylighen, F., How Can We Think the Complex?, in Managing Organizational Complexity: Philosophy, Theory and Application, K. Richardson, Ed. Information Age Publishing, 2005, pp. 47–61.

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