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Biblio
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B
C. Gershenson
,
“
Behaviour-Based Knowledge Systems: An Epigenetic Path from Behaviour to Knowledge
”
, in
Proceedings of the 2nd Workshop on Epigenetic Robotics
, Edinburgh, Scotland, 2002, vol. 94, pp. 35–41.
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C
C. Gershenson
,
“
Complexity
”
, in
Encyclopedia of Philosophy and the Social Sciences
,
B. Kaldis
, Ed.
SAGE, 2013.
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M. De Domenico
,
Camargo, C.
,
Gershenson, C.
,
Goldsmith, D.
,
Jeschonnek, S.
,
Kay, L.
,
Nichele, S.
,
Nicolás, J.
,
Schmickl, T.
,
Stella, M.
,
Brandoff, J.
,
Salinas, Á. José Mart
, and
Sayama, H.
,
“
Complexity Explained: A Grassroot Collaborative Initiative to Create a Set of Essential Concepts of Complex Systems.
”
. 2019.
DOI
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C. Gershenson
,
Broekaert, J.
, and
Aerts, D.
,
“
Contextual Random {Boolean} Networks
”
, in
Advances in Artificial Life, 7th European Conference, {ECAL} 2003 {LNAI} 2801
, 2003, pp. 615–624.
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E
L. A. Escobar
,
Kim, H.
, and
Gershenson, C.
,
“
Effects of Antimodularity and Multiscale Influence in Random Boolean Networks
”
,
Complexity
, vol. 2019, p. 14, 2019.
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I
Y. Kolokoltsev
,
Ivashko, E.
, and
Gershenson, C.
,
“
Improving ``tail'' computations in a BOINC-based Desktop Grid
”
,
Open Engineering
, vol. 7, pp. 371-378, 2017.
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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.
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M
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.
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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.
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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
, p. -, 2016.
DOI
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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.
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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
, vol. 79, pp. 155–165, 2018.
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N
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.
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P
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.
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R
C. Gershenson
,
Kauffman, S. A.
, and
Shmulevich, I.
,
“
The Role of Redundancy in the Robustness of Random {Boolean} Networks
”
, in
{Artificial Life X}, Proceedings of the Tenth International Conference on the Simulation and Synthesis of Living Systems.
, 2006, pp. 35–42.
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T
O. Zapata
,
Kim, H.
, and
Gershenson, C.
,
“
On two information-theoretic measures of random fuzzy networks
”
,
Artificial Life Conference Proceedings
, vol. 32. pp. 623–625, 2020.
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W
C. Gershenson
and
Heylighen, F.
,
“
When Can We Call a System Self-Organizing?
”
, in
Advances in Artificial Life, 7th European Conference, {ECAL} 2003 {LNAI} 2801
, Berlin, 2003, pp. 606–614.
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Recent Publications
On two information-theoretic measures of random fuzzy networks
Ecosystem antifragility: beyond integrity and resilience
Boolean Networks and Their Applications in Science and Engineering
Forecasting of Population Narcotization under the Implementation of a Drug Use Reduction Policy
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