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Journal articles on the topic 'Emergence Of Complexity'

Author: Grafiati

Published: 4 June 2021

Last updated: 9 February 2022

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1

Jonas-Simpson, Christine, Gail Mitchell, and Nadine Cross. "Emergence: Complexity Pedagogy in Action." Nursing Research and Practice 2015 (2015): 1–6. http://dx.doi.org/10.1155/2015/235075.

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Many educators are looking for new ways to engage students and each other in order to enrich curriculum and the teaching-learning process. We describe an example of how we enacted teaching-learning approaches through the insights of complexity thinking, an approach that supports the emergence of new possibilities for teaching-learning in the classroom and online. Our story begins with an occasion to meet with 10 nursing colleagues in a three-hour workshop using four activities that engaged learning about complexity thinking and pedagogy. Guiding concepts for the collaborative workshop were nonlinearity, distributed decision-making, divergent thinking, self-organization, emergence, and creative exploration. The workshop approach considered critical questions to spark our collective inquiry. We asked, “What is emergent learning?” and “How do we, as educators and learners, engage a community so that new learning surfaces?” We integrated the arts, creative play, and perturbations within a complexity approach.

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2

Bruce H. Weber. "Biochemical Complexity: Emergence or Design?" Rhetoric & Public Affairs 1, no. 4 (1998): 611–16. http://dx.doi.org/10.1353/rap.2010.0113.

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3

Korn, J. "Systems view, emergence and complexity." Kybernetes 36, no. 5/6 (June 19, 2007): 776–90. http://dx.doi.org/10.1108/03684920710749848.

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4

Harrison, Stephan, Doreen Massey, and Keith Richards. "Complexity and emergence (another conversation)." Area 38, no. 4 (December 2006): 465–71. http://dx.doi.org/10.1111/j.1475-4762.2006.00711.x.

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5

Whitesides, George M. "Dynamic Self-Assembly, Complexity, and Emergence." CHIMIA International Journal for Chemistry 59, no. 3 (March 1, 2005): 65. http://dx.doi.org/10.2533/000942905777676713.

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6

Fernandez-Recio, Juan, and Chandra Verma. "Theory and simulation: complexity and emergence." Current Opinion in Structural Biology 22, no. 2 (April 2012): 127–29. http://dx.doi.org/10.1016/j.sbi.2012.02.002.

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7

Rhodes, M. L. "Complexity and Emergence in Public Management." Public Management Review 10, no. 3 (May 2008): 361–79. http://dx.doi.org/10.1080/14719030802002717.

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8

Rosser, J. Barkley. "Emergence and complexity in Austrian economics." Journal of Economic Behavior & Organization 81, no. 1 (January 2012): 122–28. http://dx.doi.org/10.1016/j.jebo.2011.09.001.

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9

Araya, Roberto. "Complexity, Emergence and Embodied Cognition in Education." Innoeduca. International Journal of Technology and Educational Innovation 3, no. 2 (December 1, 2017): 159. http://dx.doi.org/10.24310/innoeduca.2017.v3i2.3020.

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fenómenos a partir de más básicos son nociones básicas para entender y mejorar el aprendizaje. Por un lado, con conceptos complejos los estudiantes se desconciertan y el aprendizaje se vuelve muy difícil. Por otro lado, los procesos en los que emergen nuevos fenómenos parecen ser mágicos o ilusiones cognitivas. Parecen basarse en cualidades adicionales que no están incluidas en los fenómenos subyacentes. ¿Puede el docente simplificar las nociones complejas sin cambiarlas? Para ello, argumentamos que la complejidad y el proceso de emerger no son exclusivamente inherentes a objetos o fenómenos. También dependen del sistema perceptivo, motor y cognitivo del estudiante. Así, si el profesor ayuda a conectar nociones y fenómenos con el conocimiento innato y corporizado de los estudiantes, entonces estas nociones se vuelven menos complejas y el fenómeno emergente pierde su magia: se conecta lógicamente con los fenómenos subyacentes. En este artículo presentamos evidencia empírica del efecto en la comprensión de los estudiantes debido a la conexión establecida en dos conceptos matemáticos centrales del currículo y que se consideran muy desafiantes.

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10

Mao, Chengde. "The Emergence of Complexity: Lessons from DNA." PLoS Biology 2, no. 12 (December 14, 2004): e431. http://dx.doi.org/10.1371/journal.pbio.0020431.

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11

Fuentes, Miguel. "Complexity and the Emergence of Physical Properties." Entropy 16, no. 8 (August 11, 2014): 4489–96. http://dx.doi.org/10.3390/e16084489.

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12

Clancy, Thomas R. "Technological Complexity and Emergence of the Entanglement." JONA: The Journal of Nursing Administration 48, no. 2 (February 2018): 65–67. http://dx.doi.org/10.1097/nna.0000000000000575.

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13

Hessami, A. G., and N. Karcanias. "Complexity, emergence and the challenges of assurance." IEEE Aerospace and Electronic Systems Magazine 26, no. 2 (February 2011): 34–41. http://dx.doi.org/10.1109/maes.2011.5739488.

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14

Moroni, Stefano, and Stefano Cozzolino. "Action and the city. Emergence, complexity, planning." Cities 90 (July 2019): 42–51. http://dx.doi.org/10.1016/j.cities.2019.01.039.

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15

Berger, Pierre, and Jairo Bochi. "On emergence and complexity of ergodic decompositions." Advances in Mathematics 390 (October 2021): 107904. http://dx.doi.org/10.1016/j.aim.2021.107904.

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16

ITOH, MAKOTO, and LEON O. CHUA. "COMPLEXITY OF REACTION–DIFFUSION CNN." International Journal of Bifurcation and Chaos 16, no. 09 (September 2006): 2499–527. http://dx.doi.org/10.1142/s0218127406016227.

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17

Collier, John. "Holism and Emergence: Dynamical Complexity Defeats Laplace’s Demon." South African Journal of Philosophy 30, no. 2 (January 2011): 229–43. http://dx.doi.org/10.4314/sajpem.v30i2.67786.

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18

Foley, Robert. "Prehistoric hunter-gatherers: The emergence of cultural complexity." Journal of Archaeological Science 13, no. 3 (May 1986): 292–93. http://dx.doi.org/10.1016/0305-4403(86)90066-x.

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19

Rolland, Nicolas, T. Douglas Price, and James A. Brown. "Prehistoric Hunter-Gatherers: The Emergence of Cultural Complexity." Anthropologica 30, no. 2 (1988): 226. http://dx.doi.org/10.2307/25605519.

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20

Beaudreau, Bernard C. "On the Emergence and Evolution of Economic Complexity." Modern Economy 02, no. 03 (2011): 266–78. http://dx.doi.org/10.4236/me.2011.23030.

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21

Nunez, Paul L. "Nested hierarchy, small worlds, brain complexity, and emergence." Physics of Life Reviews 9, no. 1 (March 2012): 45–46. http://dx.doi.org/10.1016/j.plrev.2011.12.012.

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22

Sandler, Wendy, Irit Meir, Svetlana Dachkovsky, Carol Padden, and Mark Aronoff. "The emergence of complexity in prosody and syntax." Lingua 121, no. 13 (October 2011): 2014–33. http://dx.doi.org/10.1016/j.lingua.2011.05.007.

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23

Wolf‐Branigin, Michael. "Applying Complexity and Emergence in Social Work Education." Social Work Education 28, no. 2 (February 5, 2009): 115–27. http://dx.doi.org/10.1080/02615470802028090.

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24

Kosikova, Tamara, and Douglas Philp. "Exploring the emergence of complexity using synthetic replicators." Chemical Society Reviews 46, no. 23 (2017): 7274–305. http://dx.doi.org/10.1039/c7cs00123a.

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25

Kogut, Bruce. "Introduction to complexity: emergence, graphs, and management studies." European Management Review 4, no. 2 (June 2007): 67–72. http://dx.doi.org/10.1057/palgrave.emr.1500081.

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26

Gao, Xin-Dong, Zhesi Shen, and Wen-Xu Wang. "Emergence of complexity in controlling simple regular networks." EPL (Europhysics Letters) 114, no. 6 (June 1, 2016): 68002. http://dx.doi.org/10.1209/0295-5075/114/68002.

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27

Sieck, Gary C. "Physiology in Perspective: Complexity and Emergence of Function." Physiology 35, no. 1 (January 1, 2020): 2–3. http://dx.doi.org/10.1152/physiol.00037.2019.

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28

Weber, Bruce H. "Irreducible Complexity and The Problem of Biochemical Emergence." Biology & Philosophy 14, no. 4 (October 1999): 593–605. http://dx.doi.org/10.1023/a:1006575823752.

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29

Jiang, Wenfeng, Zhi-bei Qu, Prashant Kumar, Drew Vecchio, Yuefei Wang, Yu Ma, Joong Hwan Bahng, et al. "Emergence of complexity in hierarchically organized chiral particles." Science 368, no. 6491 (April 9, 2020): 642–48. http://dx.doi.org/10.1126/science.aaz7949.

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The structural complexity of composite biomaterials and biomineralized particles arises from the hierarchical ordering of inorganic building blocks over multiple scales. Although empirical observations of complex nanoassemblies are abundant, the physicochemical mechanisms leading to their geometrical complexity are still puzzling, especially for nonuniformly sized components. We report the self-assembly of hierarchically organized particles (HOPs) from polydisperse gold thiolate nanoplatelets with cysteine surface ligands. Graph theory methods indicate that these HOPs, which feature twisted spikes and other morphologies, display higher complexity than their biological counterparts. Their intricate organization emerges from competing chirality-dependent assembly restrictions that render assembly pathways primarily dependent on nanoparticle symmetry rather than size. These findings and HOP phase diagrams open a pathway to a large family of colloids with complex architectures and unusual chiroptical and chemical properties.

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30

Theurer, Kari L. "Complexity-based Theories of Emergence: Criticisms and Constraints." International Studies in the Philosophy of Science 28, no. 3 (July 3, 2014): 277–301. http://dx.doi.org/10.1080/02698595.2014.953342.

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31

Grigolini, Paolo. "Emergence of biological complexity: Criticality, renewal and memory." Chaos, Solitons & Fractals 81 (December 2015): 575–88. http://dx.doi.org/10.1016/j.chaos.2015.07.025.

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32

Wolf, Yuri I., Mikhail I. Katsnelson, and Eugene V. Koonin. "Physical foundations of biological complexity." Proceedings of the National Academy of Sciences 115, no. 37 (August 27, 2018): E8678—E8687. http://dx.doi.org/10.1073/pnas.1807890115.

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Biological systems reach hierarchical complexity that has no counterpart outside the realm of biology. Undoubtedly, biological entities obey the fundamental physical laws. Can today’s physics provide an explanatory framework for understanding the evolution of biological complexity? We argue that the physical foundation for understanding the origin and evolution of complexity can be gleaned at the interface between the theory of frustrated states resulting in pattern formation in glass-like media and the theory of self-organized criticality (SOC). On the one hand, SOC has been shown to emerge in spin-glass systems of high dimensionality. On the other hand, SOC is often viewed as the most appropriate physical description of evolutionary transitions in biology. We unify these two faces of SOC by showing that emergence of complex features in biological evolution typically, if not always, is triggered by frustration that is caused by competing interactions at different organizational levels. Such competing interactions lead to SOC, which represents the optimal conditions for the emergence of complexity. Competing interactions and frustrated states permeate biology at all organizational levels and are tightly linked to the ubiquitous competition for limiting resources. This perspective extends from the comparatively simple phenomena occurring in glasses to large-scale events of biological evolution, such as major evolutionary transitions. Frustration caused by competing interactions in multidimensional systems could be the general driving force behind the emergence of complexity, within and beyond the domain of biology.

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33

Deghedi, Ghada Ahmed. "Understanding Games Through Complexity Thinking Approach." International Journal of Gaming and Computer-Mediated Simulations 10, no. 3 (July 2018): 41–56. http://dx.doi.org/10.4018/ijgcms.2018070103.

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The complexity theory and the concept of emergence is a theoretical framework that offers a vocabulary and tool for analyzing games as systems. Rather than dealing with a game as one complex adaptive system, this article uses the complexity thinking approach to study a game as a complex system composed of different levels of subsystems. Each level can be considered a complex system in itself; moreover, the interaction between a game's subsystems creates complex, dynamic, and often unpredictable behavior. For a detailed understanding of a game system and how complex it is, this article focuses on the concepts of complexity and emergence at three levels of a game system: the design level, play level and metagame level. This explanation is meant to guide game designers in incorporating the various emergent consequences of game play from the beginning of the design process.

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34

Byrne, David. "Complexity, Configurations and Cases." Theory, Culture & Society 22, no. 5 (October 2005): 95–111. http://dx.doi.org/10.1177/0263276405057194.

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How can we make complexity work as part of a programme of engaged social science? This article attempts to answer that question by arguing that one way to do this is through a reconstruction of a central tool of a distinctively social science – the comparative method – understood as a procedure for elucidating the complex and multiple systems of causation that generate particular trajectories towards a desired future from the multiple sets of available futures. The article distinguishes between ‘simplistic complexity’ and ‘complex complexity’. ‘Simplistic complexity’ seeks to explain emergence in complex systems as the product of simple rules and defines complex science as the process of establishing such rules. It can and does serve as the basis of technocratic social engineering in the interest of the powerful. In contrast ‘complex complexity’ recognizes the significance of social structure and willed social agency and does not reduce emergence to the mere working out of a restricted set of rules. Research programmes informed by this second approach must necessarily engage with social actors in context – they must be dialogical. This opens up the possibility of ‘complex complexity’ as a frame of reference for action-research directed towards the transformation of complex social systems. Comparative methods, and in particular Ragin’s qualitative comparative analysis approach, when deployed as part of such a programme, can provide meaningful information about the range of possible futures and the different configurations of causes which might generate particular desired social outcomes.

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35

Hernández-Orozco, Santiago, Francisco Hernández-Quiroz, and Hector Zenil. "Undecidability and Irreducibility Conditions for Open-Ended Evolution and Emergence." Artificial Life 24, no. 1 (February 2018): 56–70. http://dx.doi.org/10.1162/artl_a_00254.

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Is undecidability a requirement for open-ended evolution (OEE)? Using methods derived from algorithmic complexity theory, we propose robust computational definitions of open-ended evolution and the adaptability of computable dynamical systems. Within this framework, we show that decidability imposes absolute limits on the stable growth of complexity in computable dynamical systems. Conversely, systems that exhibit (strong) open-ended evolution must be undecidable, establishing undecidability as a requirement for such systems. Complexity is assessed in terms of three measures: sophistication, coarse sophistication, and busy beaver logical depth. These three complexity measures assign low complexity values to random (incompressible) objects. As time grows, the stated complexity measures allow for the existence of complex states during the evolution of a computable dynamical system. We show, however, that finding these states involves undecidable computations. We conjecture that for similar complexity measures that assign low complexity values, decidability imposes comparable limits on the stable growth of complexity, and that such behavior is necessary for nontrivial evolutionary systems. We show that the undecidability of adapted states imposes novel and unpredictable behavior on the individuals or populations being modeled. Such behavior is irreducible. Finally, we offer an example of a system, first proposed by Chaitin, that exhibits strong OEE.

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36

SHENHAV, BARAK, DANIEL SEGRÈ, and DORON LANCET. "MESOBIOTIC EMERGENCE: MOLECULAR AND ENSEMBLE COMPLEXITY IN EARLY EVOLUTION." Advances in Complex Systems 06, no. 01 (March 2003): 15–35. http://dx.doi.org/10.1142/s0219525903000785.

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In addition to the visible complexity expressed in the morphogenesis of multicellular organisms, two levels of microscopic complexity may be discerned within every living cell. The first level is related to covalently bonded structures, namely molecules. The second level has to do with the generation of non-covalent molecular assemblies. Origin of life research has largely focused on the first complexity level, i.e. the appearance of covalent biopolymers. We present a life emergence scenario based mainly on the second complexity level. We argue that homeostatic molecular ensembles, for which we have coined the term "mesobiotic," have assumed a half-way position between prebiotic organic synthesis and full-fledged cellular (biotic) life.

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37

Westen, Drew, and Rebekah Bradley. "Empirically Supported Complexity." Current Directions in Psychological Science 14, no. 5 (October 2005): 266–71. http://dx.doi.org/10.1111/j.0963-7214.2005.00378.x.

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Over the last 10 years, evidence-based practice in psychology has become synonymous with a particular operationalization of it aimed at developing a list of empirically supported therapies. Although much has been learned since the emergence of the empirically supported therapies movement, its restrictive definition of evidence (excluding, for example, basic science as a source of evidence to be used by clinicians) is problematic, and the assumptions inherent in its nearly exclusive focus on brief, focal treatments for specific disorders are themselves not generally supported by the available data. Recent meta-analytic data support a more nuanced view of treatment efficacy than one that makes dichotomous judgments of empirically supported or unsupported, suggesting the need for a more refined concept of evidence-based practice in psychology.

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38

Merali, Yasmin. "Complexity and Information Systems: The Emergent Domain." Journal of Information Technology 21, no. 4 (December 2006): 216–28. http://dx.doi.org/10.1057/palgrave.jit.2000081.

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This paper is concerned with the emergence of the information systems (IS) domain as a central feature of the management research landscape in the networked world. It shows that emergence of the network economy and network society necessitates a paradigm shift in the IS discipline, and that complexity science offers the apposite concepts and tools for effecting such a shift. To avoid confusion of fundamental complexity science concepts with the more colloquial uses of complexity terminology, the paper provides an introduction to concepts from complexity science for those in the IS field who are unacquainted with complexity theory. It then proceeds to explore the utility of these concepts for developing IS theory and practice for the emergent networked world.

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39

Liang, Thow Yick. "Edge of emergence, relativistic complexity and the new leadership." Human Systems Management 32, no. 1 (2013): 3–15. http://dx.doi.org/10.3233/hsm-130781.

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40

Pereira, Joana. "Competition under Institutional Complexity: The Emergence of Competitive Microcosm." Academy of Management Proceedings 2019, no. 1 (August 1, 2019): 16846. http://dx.doi.org/10.5465/ambpp.2019.16846abstract.

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41

Knapp, A. Bernard. "Social Complexity: Incipience, Emergence, and Development on Prehistoric Cyprus." Bulletin of the American Schools of Oriental Research 292 (November 1993): 85–106. http://dx.doi.org/10.2307/1357250.

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42

Guill, Christian, and Barbara Drossel. "Emergence of complexity in evolving niche-model food webs." Journal of Theoretical Biology 251, no. 1 (March 2008): 108–20. http://dx.doi.org/10.1016/j.jtbi.2007.11.017.

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43

Lee, Cassey. "BOUNDED RATIONALITY AND THE EMERGENCE OF SIMPLICITY AMIDST COMPLEXITY." Journal of Economic Surveys 25, no. 3 (January 11, 2011): 507–26. http://dx.doi.org/10.1111/j.1467-6419.2010.00670.x.

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44

Kellen, Vince, and Keith Stefanczyk. "Complexity, Fragmentation, Uncertainty, and Emergence in Customer Relationship Management." Emergence 4, no. 4 (December 2002): 39–50. http://dx.doi.org/10.1207/s15327000em0404_5.

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45

Chapura, Mitch. "Scale, causality, complexity and emergence: rethinking scale’s ontological significance." Transactions of the Institute of British Geographers 34, no. 4 (October 2009): 462–74. http://dx.doi.org/10.1111/j.1475-5661.2009.00356.x.

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46

Carlisle, Ysanne. "Complexity dynamics: Managerialism and undesirable emergence in healthcare organizations." Journal of Medical Marketing: Device, Diagnostic and Pharmaceutical Marketing 11, no. 4 (November 2011): 284–93. http://dx.doi.org/10.1177/1745790411424972.

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47

Pillai, P., A. Gonzalez, and M. Loreau. "Metacommunity theory explains the emergence of food web complexity." Proceedings of the National Academy of Sciences 108, no. 48 (November 14, 2011): 19293–98. http://dx.doi.org/10.1073/pnas.1106235108.

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48

Gao, Xin-Dong, Zhesi Shen, and Wen-Xu Wang. "Erratum: Emergence of complexity in controlling simple regular networks." EPL (Europhysics Letters) 115, no. 1 (July 1, 2016): 19901. http://dx.doi.org/10.1209/0295-5075/115/19901.

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49

Oliver, Carlos G., Vladimir Reinharz, and Jérôme Waldispühl. "On the emergence of structural complexity in RNA replicators." RNA 25, no. 12 (August 29, 2019): 1579–91. http://dx.doi.org/10.1261/rna.070391.119.

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50

Shelby, Melissa, and Rita Wermers. "Complexity Science Fosters Professional Advanced Nurse Practitioner Role Emergence." Nursing Administration Quarterly 44, no. 2 (2020): 149–58. http://dx.doi.org/10.1097/naq.0000000000000413.

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