Biblio

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C. Gershenson, Froese, T., Siqueiros, J. M., Aguilar, W., Izquierdo, E. J., and Sayama, H., Eds., Proceedings of the Artificial Life Conference 2016. Cambridge, MA, USA: MIT Press, 2016.PDF icon 06-ALIFE_2016.pdf (26.32 MB)
C. Gershenson and Wisdom, T., “Previniendo enfermedades crónico-degenerativas con vacunas sociales”, Cirug{\'ıa y Cirujanos, vol. 81, pp. 83-84, 2013.
C. Gershenson, Aerts, D., and Edmonds, B., Eds., Philosophy and Complexity. Singapore: World Scientific, 2007.
C. Gershenson, “Philosophical Ideas on the Simulation of Social Behaviour”, Journal of Artificial Societies and Social Simulation, vol. 5, 2002.
C. Gershenson, “Phase Transitions in Random {Boolean} Networks with Different Updating Schemes”. 2004.
J. L. Zapotecatl, Muñoz-Meléndez, A., and Gershenson, C., “Performance Metrics of Collective Coordinated Motion in Flocks”, in Proceedings of the Artificial Life Conference 2016, 2016, pp. 322–329.PDF icon 41-ALifeXV-Zapotecatl.pdf (3.66 MB)
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.
W. Aguilar, Bonfil, G. Santamarí, Froese, T., and Gershenson, C., “The Past, Present, and Future of Artificial Life”, Frontiers in Robotics and AI, vol. 1, 2014.
G. Santamaría-Bonfil, Gershenson, C., and Fernández, N., “A Package for Measuring Emergence, Self-organization, and Complexity Based on Shannon Entropy”, Frontiers in Robotics and AI, vol. 4, p. 10, 2017.PDF icon 15-frobt-04-00010.pdf (4.32 MB)
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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.
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.
M
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, vol. 79, pp. 155–165, 2018.
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)
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.
R. { Poblanno-Balp} and Gershenson, C., “Modular Random {Boolean} Networks”, Artificial Life, vol. 17, pp. 331–351, 2011.
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.
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.
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, “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)
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)
N. Fernández, Ortega, O., Madrid, Y., Restrepo, G., Leal, W., and Gershenson, C., “Modeling Systems with Coupled Dynamics (SCDs): A Multi-Agent, Networks, and Game Theory-based Approach”, in Conference on Complex Systems, Thessaloniki, Greece, 2018.PDF icon CoupleDynamics.pdf (119.3 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.
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.

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