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Universidad Nacional Autónoma de México
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Biblio
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2019
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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2002
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.
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Recent Publications
Guiding the Self-Organization of Cyber-Physical Systems
On two information-theoretic measures of random fuzzy networks
Ecosystem antifragility: beyond integrity and resilience
Boolean Networks and Their Applications in Science and Engineering
More...
Complexity Digest
Understanding the coevolution of mask wearing and epidemics: A network perspective
Belief propagation for permutations, rankings, and partial orders
Mapping Philanthropic Support of Science
Critical drift in a neuro-inspired adaptive network
The Nature of Complex Networks – Sergey N. Dorogovtsev, José F. F. Mendes – Oxford University Press
More