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Universidad Nacional Autónoma de México
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Biblio
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2019
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.
DOI
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2018
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.
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CoupleDynamics.pdf
(119.3 KB)
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.
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2016
G. Santamaría-Bonfil
,
Fernández, N.
, and
Gershenson, C.
,
“
Measuring the Complexity of Continuous Distributions
”
,
Entropy
, vol. 18, p. 72, 2016.
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31-entropy-18-00072.pdf
(700.97 KB)
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.
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36-massGatherings.pdf
(3.1 MB)
2015
M. Amoretti
and
Gershenson, C.
,
“
Measuring the complexity of adaptive peer-to-peer systems
”
,
Peer-to-Peer Networking and Applications
, pp. 1-16, 2015.
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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.
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13-PolicyCx.pdf
(358.34 KB)
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.
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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.
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2013
M. Amoretti
and
Gershenson, C.
,
“
Measuring the Complexity of Ultra-Large-Scale Evolutionary Systems
”
. 2013.
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2011
D. A. Rosenblueth
and
Gershenson, C.
,
“
A model of city traffic based on elementary cellular automata
”
,
Complex Systems
, vol. 19, pp. 305-322, 2011.
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R. { Poblanno-Balp}
and
Gershenson, C.
,
“
Modular Random {Boolean} Networks
”
,
Artificial Life
, vol. 17, pp. 331–351, 2011.
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2010
C. Gershenson
,
Meza, I. V.
,
Avilés, H.
, and
Pineda, L. A.
,
“
Mechanical Love. Phie Ambo. (2009, Icarus Films.) $390, 52 min.
”
,
Artificial Life
, vol. 16, pp. 269-270, 2010.
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R. { Poblanno-Balp}
and
Gershenson, C.
,
“
Modular Random {Boolean} Networks
”
, in
{Artificial Life XII} Proceedings of the Twelfth International Conference on the Synthesis and Simulation of Living Systems
,
H. Fellermann
,
Dörr, M.
,
Hanczyc, M. M.
,
Laursen, L. Ladegaard
,
Maurer, S.
,
Merkle, D.
,
Monnard, P. - A.
,
St$ø$y, K.
, and
Rasmussen, S.
, Eds.
Odense, Denmark: MIT Press, 2010, pp. 303-304.
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2009
C. Gershenson
and
Rosenblueth, D. A.
,
“
Modeling self-organizing traffic lights with elementary cellular automata
”
. 2009.
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2003
F. Heylighen
and
Gershenson, C.
,
“
The Meaning of Self-Organization in Computing
”
,
IEEE Intelligent Systems
, pp. 72–75, 2003.
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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.
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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.
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1999
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.
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