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  1. Impure Systems and Ecological Models : Axiomatization.José-Luis Usó-Doménech, Josué-Antonio Nescolarde-Selva & Miguel Lloret-Climent - 2018 - Foundations of Science 23 (2):297-321.
    sBuilding models as a practical aspect of ecological theory has as a principal purpose the determination of relations in formal language. In this paper, the authors provide a formalization of ecological models based on impure systems theory. Impure systems contain objects and subjects: subjects are human beings. We can distinguish a person as an observer that by definition is the subject himself and part of the system. In this case he acquires the category of object. Objects are significances, which are (...)
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  • Semiotic open complex systems: Processes and behaviors.Josep Lluis Usó-Doménech, Josué Antonio Nescolarde-Selva, Miguel Lloret-Climent & Meng Fan - 2015 - Complexity 21 (S2):388-396.
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  • Complex impure systems: Sheaves, freeways, and chains.Josep Lluis Usó-doménech, Josué Antonio Nescolarde-Selva & Miguel Lloret-Climent - 2016 - Complexity 21 (S1):387-400.
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  • Chaos and complexity in mine grade distribution series detected by nonlinear approaches.Mohammad Pourmahmood Aghababa & Jafar Abdollahi Sharif - 2016 - Complexity 21 (S2):355-369.
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  • A Novel Antifragility Measure Based on Satisfaction and Its Application to Random and Biological Boolean Networks.Omar K. Pineda, Hyobin Kim & Carlos Gershenson - 2019 - Complexity 2019:1-10.
    Antifragility is a property from which systems are able to resist stress and furthermore benefit from it. Even though antifragile dynamics is found in various real-world complex systems where multiple subsystems interact with each other, the attribute has not been quantitatively explored yet in those complex systems which can be regarded as multilayer networks. Here we study how the multilayer structure affects the antifragility of the whole system. By comparing single-layer and multilayer Boolean networks based on our recently proposed antifragility (...)
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  • Impure Systems and Ecological Models : Components and Thermodynamics.Josué-Antonio Nescolarde-Selva, José-Luis Usó-Doménech & Miguel Lloret-Climent - 2019 - Foundations of Science 24 (3):427-455.
    This paper refers to a subjective approach to Ecosystems, referred to as Impure Systems to capture a set of fundamental properties. There are four main phenomenological components: directionality, intensity, connection energy and volume. A fundamental question in this approach to Impure Systems is the intensity or forces of a relation. Concepts as the system volume, and propose a system thermodynamic theory based in the Law of Zipf and the temperature of information are introduced. It hints at the possibility of adapting (...)
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  • A logic-mathematical point of view of the truth: Reality, perception, and language.Josué Antonio Nescolarde-Selva, Josep-Lluis Usó-Doménech & Hugh Gash - 2015 - Complexity 20 (4):58-67.
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  • A theorical point of view of reality, perception, and language.Josué Antonio Nescolarde-Selva, Josep-Lluis Usó-Doménech & Hugh Gash - 2014 - Complexity 20 (1):27-37.
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  • Technological integration and hyperconnectivity: Tools for promoting extreme human lifespans.Marios Kyriazis - 2015 - Complexity 20 (6):15-24.
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  • Behavioral Priming 2.0: Enter a Dynamical Systems Perspective.Dario Krpan - 2017 - Frontiers in Psychology 8.
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  • Defining synergy thermodynamically using quantitative measurements of entropy and free energy.Klaus Jaffe & Gerardo Febres - 2016 - Complexity 21 (S2):235-242.
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  • Mechanism for Measuring System Complexity Applying Sensitivity Analysis.Viviane M. Gomes, Joao R. B. Paiva, Marcio R. C. Reis, Gabriel A. Wainer & Wesley P. Calixto - 2019 - Complexity 2019:1-12.
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  • Harnessing the complexity of education with information technology.Carlos Gershenson - 2015 - Complexity 20 (5):13-16.
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  • Calculating entropy at different scales among diverse communication systems.Gerardo Febres & Klaus Jaffé - 2016 - Complexity 21 (S1):330-353.
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  • Complexity measurement of natural and artificial languages.Gerardo Febres, Klaus Jaffé & Carlos Gershenson - 2015 - Complexity 20 (6):25-48.
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  • Living is Information Processing: From Molecules to Global Systems.Keith D. Farnsworth, John Nelson & Carlos Gershenson - 2013 - Acta Biotheoretica 61 (2):203-222.
    We extend the concept that life is an informational phenomenon, at every level of organisation, from molecules to the global ecological system. According to this thesis: living is information processing, in which memory is maintained by both molecular states and ecological states as well as the more obvious nucleic acid coding; this information processing has one overall function—to perpetuate itself; and the processing method is filtration of, and synthesis of, information at lower levels to appear at higher levels in complex (...)
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  • Beliefs as Self-Sustaining Networks: Drawing Parallels Between Networks of Ecosystems and Adults’ Predictions.Ramon D. Castillo, Heidi Kloos, Michael J. Richardson & Talia Waltzer - 2015 - Frontiers in Psychology 6.
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  • Defining emergence: Learning from flock behavior.Manuel Berrondo & Mario Sandoval - 2016 - Complexity 21 (S1):69-78.
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