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Universidad Nacional Autónoma de México
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Biblio
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]
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is
M
and
Author
is
Gershenson, Carlos
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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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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)
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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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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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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Recent Publications
Forecasting of Population Narcotization under the Implementation of a Drug Use Reduction Policy
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On two information-theoretic measures of random fuzzy networks
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Complexity Digest
Evolutionary Robotics: Taking a biologically inspired approach to the design of autonomous, adaptive machines.
Measuring Entanglement in Physical Networks
Optimization of nonequilibrium free energy harvesting illustrated on bacteriorhodopsin
Disentangling the Timescales of a Complex System: A Bayesian Approach to Temporal Network Analysis
Comparing the Complexity and Efficiency of Composable Modeling Techniques for Multi-Scale and Multi-Domain Complex System Modeling and Simulation Applications: A Probabilistic Analysis
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