Biblio

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Z

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.

S

G. Santamaría-Bonfil, Fernández, N., and Gershenson, C., “Measuring the Complexity of Continuous Distributions”, Entropy, vol. 18, p. 72, 2016.

31-entropy-18-00072.pdf (700.97 KB)

R

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

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.

K

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.

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.

36-massGatherings.pdf (3.1 MB)

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.

H

F. Heylighen and Gershenson, C., “The Meaning of Self-Organization in Computing”, IEEE Intelligent Systems, pp. 72–75, 2003.

G

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, 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.

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.

C. Gershenson and Rosenblueth, D. A., “Modeling self-organizing traffic lights with elementary cellular automata”. 2009.

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.

F

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.

CoupleDynamics.pdf (119.3 KB)

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.

E

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.

13-PolicyCx.pdf (358.34 KB)

A

M. Amoretti and Gershenson, C., “Measuring the complexity of adaptive peer-to-peer systems”, Peer-to-Peer Networking and Applications, pp. 1-16, 2015.

M. Amoretti and Gershenson, C., “Measuring the Complexity of Ultra-Large-Scale Evolutionary Systems”. 2013.