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Journal articles on the topic 'Complex adaptive systems'

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Published: 4 June 2021
Last updated: 20 February 2023

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1

Lansing, J. Stephen. "Complex Adaptive Systems." Annual Review of Anthropology 32, no. 1 (October 2003): 183–204. http://dx.doi.org/10.1146/annurev.anthro.32.061002.093440.

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2

Holland, John H. "Studying Complex Adaptive Systems." Journal of Systems Science and Complexity 19, no. 1 (March 2006): 1–8. http://dx.doi.org/10.1007/s11424-006-0001-z.

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3

Clymer, John R. "Mathematics of complex adaptive systems." International Journal of Design & Nature and Ecodynamics 12, no. 3 (September 30, 2017): 377–84. http://dx.doi.org/10.2495/dne-v12-n3-377-384.

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4

Rosenboom, David. "Complex adaptive systems in music." Journal of the Acoustical Society of America 92, no. 4 (October 1992): 2403. http://dx.doi.org/10.1121/1.404732.

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5

Comfort, Louise K., and Sandra L. Resodihardjo. "Leadership in Complex Adaptive Systems." International Review of Public Administration 18, no. 1 (April 2013): 1–5. http://dx.doi.org/10.1080/12294659.2013.10805236.

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6

Paley, John. "Complex adaptive systems and nursing." Nursing Inquiry 14, no. 3 (September 2007): 233–42. http://dx.doi.org/10.1111/j.1440-1800.2007.00359.x.

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7

White, B. E. "Complex adaptive systems engineering (CASE)." IEEE Aerospace and Electronic Systems Magazine 25, no. 12 (December 2010): 16–22. http://dx.doi.org/10.1109/maes.2010.5638784.

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8

Holden, Lela M. "Complex adaptive systems: concept analysis." Journal of Advanced Nursing 52, no. 6 (December 2005): 651–57. http://dx.doi.org/10.1111/j.1365-2648.2005.03638.x.

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9

Spivey, Michael J. "Discovery in complex adaptive systems." Cognitive Systems Research 51 (October 2018): 40–55. http://dx.doi.org/10.1016/j.cogsys.2018.05.001.

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10

Schoening, Bill. "Boundaries and Complex Adaptive Systems." INSIGHT 11, no. 1 (January 2008): 22–23. http://dx.doi.org/10.1002/inst.200811122.

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11

Johnson, Bonnie, and Alejandro Hernandez. "Exploring Engineered Complex Adaptive Systems of Systems." Procedia Computer Science 95 (2016): 58–65. http://dx.doi.org/10.1016/j.procs.2016.09.293.

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12

CHOI*, Dae-Gyu. "Mechanisms for Complex Behaviors in Complex Adaptive Systems." New Physics: Sae Mulli 67, no. 4 (April 28, 2017): 475–79. http://dx.doi.org/10.3938/npsm.67.475.

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13

Naudé, Marita. "Sustainable development and complex adaptive systems." Corporate Ownership and Control 10, no. 1 (2012): 535–46. http://dx.doi.org/10.22495/cocv10i1c5art5.

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The aim and contribution of this paper at a theoretical level is to discuss CAS and the principles thereof as an alternative to traditional management models as an option to enhance SD in an integrated and holistic manner. At a practical level, the author discusses management and leadership suggestions to implement the principles of CAS to enhance SD. A CAS approach is not static and allows for and encourages emergence as a result to the changing internal and external environments. As CAS is a process that allows for constant change and adaptation it could be compatible in the organization’s SD challenge that is also constantly changing and adapting in response to the internal and external environments. Translating an integrated, holistic and CAS approach might require some cognitive, structural and political changes in the thinking about and understanding of how to deal with SD
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14

Mesjasz, Czeslaw, and Marek Szarucki. "Ignorance, Strategy and Complex Adaptive Systems." Academy of Management Proceedings 2017, no. 1 (August 2017): 15698. http://dx.doi.org/10.5465/ambpp.2017.15698abstract.

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15

White, Brian E., and Mickael Bouyaud. "A Complex Adaptive Systems Engineering Methodology." INSIGHT 24, no. 2 (July 2021): 25–31. http://dx.doi.org/10.1002/inst.12337.

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16

Pickering, William Alfred. "Natural languages as complex adaptive systems." Estudos Linguísticos (São Paulo. 1978) 45, no. 1 (November 29, 2016): 180. http://dx.doi.org/10.21165/el.v45i1.787.

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Certas propriedades básicas de sistemas complexos são comparadas com as de línguas naturais. Argumenta-se que as línguas são compostas de unidades que interagem e compõem um todo em funcionamento com as propriedades de estrutura de rede, controle descentralizado, emergência, causalidade recíproca, estado longe de equilíbrio e processos de feedback positivo e negativo. Também é discutida a possibilidade de que as línguas têm a propriedade de adaptabilidade. O problema principal em definir a adaptabilidade da linguagem é tido como o papel desempenhado pela variação linguística individual na manutenção de uma estabilidade e capacidade de mudança da linguagem. Para concluir, argumenta-se que considerar as línguas naturais como sistemas adaptativos complexos serve como base para hipóteses que podem ser modeladas e testadas empiricamente, e que a abordagem de sistemas complexos pode trazer uma unidade e coerência para a compreensão de diversos fenômenos linguísticos.
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17

Moretta Tartaglione, Andrea, and Roberto Bruni. "International networks as complex adaptive systems." MERCATI & COMPETITIVITÀ, no. 3 (September 2016): 111–31. http://dx.doi.org/10.3280/mc2016-003007.

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18

Anderson, Ruth A., L. Michele Issel, and Reuben R. McDaniel. "Nursing Homes as Complex Adaptive Systems." Nursing Research 52, no. 1 (January 2003): 12–21. http://dx.doi.org/10.1097/00006199-200301000-00003.

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19

Martinez-Lavin, Manuel, and Angelica Vargas. "Complex Adaptive Systems Allostasis in Fibromyalgia." Rheumatic Disease Clinics of North America 35, no. 2 (May 2009): 285–98. http://dx.doi.org/10.1016/j.rdc.2009.05.005.

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20

DʼAgata, Amy L., and Jacqueline M. McGrath. "A Framework of Complex Adaptive Systems." Advances in Nursing Science 39, no. 3 (2016): 244–56. http://dx.doi.org/10.1097/ans.0000000000000127.

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21

Ahmed, E., A. S. Elgazzar, and A. S. Hegazi. "On complex adaptive systems and terrorism." Physics Letters A 337, no. 1-2 (March 2005): 127–29. http://dx.doi.org/10.1016/j.physleta.2005.01.059.

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22

Sayama, Hiroki, Irene Pestov, Jeffrey Schmidt, Benjamin James Bush, Chun Wong, Junichi Yamanoi, and Thilo Gross. "Modeling complex systems with adaptive networks." Computers & Mathematics with Applications 65, no. 10 (May 2013): 1645–64. http://dx.doi.org/10.1016/j.camwa.2012.12.005.

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23

Innes, Judith E., and David E. Booher. "Consensus Building and Complex Adaptive Systems." Journal of the American Planning Association 65, no. 4 (December 31, 1999): 412–23. http://dx.doi.org/10.1080/01944369908976071.

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24

Mahon, Robin, Patrick McConney, and Rathindra N. Roy. "Governing fisheries as complex adaptive systems." Marine Policy 32, no. 1 (January 2008): 104–12. http://dx.doi.org/10.1016/j.marpol.2007.04.011.

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25

Elena, Santiago F., and Rafael Sanjuán. "RNA viruses as complex adaptive systems." Biosystems 81, no. 1 (July 2005): 31–41. http://dx.doi.org/10.1016/j.biosystems.2005.02.001.

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26

Glouberman, Sholom. "Walkerton Water and Complex Adaptive Systems." Healthcare Quarterly 4, no. 4 (June 15, 2001): 28–31. http://dx.doi.org/10.12927/hcq..17440.

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27

Cunha, Danilo, Rafael Xavier, and Leandro Nunes de Castro. "Bacterial colonies as complex adaptive systems." Natural Computing 17, no. 4 (June 20, 2018): 781–98. http://dx.doi.org/10.1007/s11047-018-9689-7.

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28

Monostori, László, and Kanji Ueda. "Design of complex adaptive systems: Introduction." Advanced Engineering Informatics 20, no. 3 (July 2006): 223–25. http://dx.doi.org/10.1016/j.aei.2006.05.009.

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29

MANGEL, MARC. "Complex Adaptive Systems, Aging and Longevity." Journal of Theoretical Biology 213, no. 4 (December 2001): 559–71. http://dx.doi.org/10.1006/jtbi.2001.2431.

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30

Minas, Harry. "Leadership for Change in Complex Systems." Australasian Psychiatry 13, no. 1 (March 2005): 33–39. http://dx.doi.org/10.1080/j.1440-1665.2004.02147.x.

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Objectives: To examine clinician leadership for change from the perspective of complexity. Methods: The core features of complex adaptive systems are described and examples of these characteristics are identified in Australia's mental health system. The implications of conceiving of themental health system as a complex adaptive system are explored. Conclusions: It is concluded that there is value in conceiving of Australia's mental health system as a complex adaptive system and that such a conception provides useful guidance for leadership for change and for management.
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31

Large, David, Petia Sice, Robert Geyer, Geoff O'Brien, and Safwat Mansi. "Complex Processes and Social Systems." International Journal of Systems and Society 2, no. 1 (January 2015): 65–73. http://dx.doi.org/10.4018/ijss.2015010104.

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In this paper the authors consider two contrasting viewpoints; Complex responsive processes which deal with interactions in the present, and complex adaptive systems which focus on learning through the production of what are called mental models. The paper shows that rather than being contradictory, these viewpoints are – at least in some respects - complementary. From the resulting perspective we are able to identify qualitative synergies between the two approaches. Complex responsive processes involve reflections on interactions that take place in time. But you cannot stop time so these present reflections always refer back to a present now gone. Complex adaptive systems are analytic tools. They are not explicitly in the present or in time at all, but they shape our thoughts and actions which are in the present. They shape how people behave, respond and think in a context. In this way people can combine, or reorganise, the approach to complex responsive processes and complex adaptive systems to show how humans address the complex notions of our world.
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32

Hartvigsen, Gregg, Ann Kinzig, and Garry Peterson. "Complex Adaptive Systems: Use and Analysis of Complex Adaptive Systems in Ecosystem Science: Overview of Special Section." Ecosystems 1, no. 5 (September 1, 1998): 427–30. http://dx.doi.org/10.1007/s100219900036.

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33

John, Thomas, and Mantri Pam. "Complex Adaptive Blockchain Governance." MATEC Web of Conferences 223 (2018): 01010. http://dx.doi.org/10.1051/matecconf/201822301010.

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The blockchain revolution upholds the decentralizing ideal of “control nothing.” It is natural that such a pursuit would face issues of governance that demand reasonable control; control that is both operational as well as adaptive in nature. Eliminating middlemen and handing over controls to a trusted system of trustless agents does not thereby bestow trust across time. This is especially true when relentless change is the order of the day. Issues of governance rise up when blockchain systems (especially those that have embedded smart contracts) are forced to operate increasingly away from their original intent. Smart contracts need governance when beset with the problem of the unknown-unknowns. Guided by the axiomatic approach, this paper looks at the paradoxical issue of blockchain governance from a Complex Adaptive Systems (CAS) perspective that helps frame the fundamental problem of decentralization. The objective is to solve the Blockchain Governance Kernel Design. Real-life examples are used to illustrate the findings.
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34

Oughton, Edward J., Will Usher, Peter Tyler, and Jim W. Hall. "Infrastructure as a Complex Adaptive System." Complexity 2018 (November 4, 2018): 1–11. http://dx.doi.org/10.1155/2018/3427826.

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National infrastructure systems spanning energy, transport, digital, waste, and water are well recognised as complex and interdependent. While some policy makers have been keen to adopt the narrative of complexity, the application of complexity-based methods in public policy decision-making has been restricted by the lack of innovation in associated methodologies and tools. In this paper we firstly evaluate the application of complex adaptive systems theory to infrastructure systems, comparing and contrasting this approach with traditional systems theory. We secondly identify five key theoretical properties of complex adaptive systems including adaptive agents, diverse agents, dynamics, irreversibility, and emergence, which are exhibited across three hierarchical levels ranging from agents, to networks, to systems. With these properties in mind, we then present a case study on the development of a system-of-systems modelling approach based on complex adaptive systems theory capable of modelling an emergent national infrastructure system, driven by agent-level decisions with explicitly modelled interdependencies between energy, transport, digital, waste, and water. Indeed, the novel contribution of the paper is the articulation of the case study describing a decade of research which applies complex adaptive systems properties to the development of a national infrastructure system-of-systems model. This approach has been used by the UK National Infrastructure Commission to produce a National Infrastructure Assessment which is capable of coordinating infrastructure policy across a historically fragmented governance landscape spanning eight government departments. The application will continue to be pertinent moving forward due to the continuing complexity of interdependent infrastructure systems, particularly the challenges of increased electrification and the proliferation of the Internet of Things.
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35

Heemskerk, Klaas. "Boards of Directors as Complex Adaptive Systems." Academy of Management Proceedings 2019, no. 1 (August 1, 2019): 19120. http://dx.doi.org/10.5465/ambpp.2019.19120abstract.

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36

Marchi, Jamur Johnas, Rolf Hermann Erdmann, and Carlos Manuel Taboada Rodriguez. "Understanding Supply Networks from Complex Adaptive Systems." BAR - Brazilian Administration Review 11, no. 4 (December 2014): 441–54. http://dx.doi.org/10.1590/1807-7692bar2014130002.

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37

Scharnhorst, Kelsey S., Juan P. Carbajal, Renato C. Aguilera, Eric J. Sandouk, Masakazu Aono, Adam Z. Stieg, and James K. Gimzewski. "Atomic switch networks as complex adaptive systems." Japanese Journal of Applied Physics 57, no. 3S2 (February 20, 2018): 03ED02. http://dx.doi.org/10.7567/jjap.57.03ed02.

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38

Brown, Theresa J., Stephen H. Conrad, Walter E. Beyeler, and Robert J. Glass. "Complex adaptive systems engineering and risk reduction." Proceedings of the Institution of Civil Engineers - Engineering Sustainability 166, no. 5 (October 2013): 293–300. http://dx.doi.org/10.1680/ensu.12.00036.

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39

Dobrescu, Radu, Liliana Dobrica, and Dan Popescu. "A methodology to design Complex Adaptive Systems." IFAC Proceedings Volumes 42, no. 25 (January 2009): 68–73. http://dx.doi.org/10.3182/20091028-3-ro-4007.00016.

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40

BILSEN, Arthur van, Geertje BEKEBREDE, and Igor MAYER. "Understanding Complex Adaptive Systems by Playing Games." Informatics in Education 9, no. 1 (April 15, 2010): 1–18. http://dx.doi.org/10.15388/infedu.2010.01.

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41

Coetzee, Christo, Dewald Van Niekerk, and Emmanuel Raju. "Disaster resilience and complex adaptive systems theory." Disaster Prevention and Management 25, no. 2 (April 4, 2016): 196–211. http://dx.doi.org/10.1108/dpm-07-2015-0153.

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Purpose – The purpose of this paper is to explore the emergence of resilience into the contemporary discourse of disaster risk. As a counter position to the current status quo in defining and addressing resilience, this paper introduces the theoretical lens of complex adaptive systems theory (CAS). Some of the key characterisitcs related to CAS are discussed and linkages are made to possible benefit that they might have in enhancing the understanding of disaster resilience. Design/methodology/approach – An indepth review of literature pertaining to disaster resilience and CAS was conducted to find common grounds for theoretical synergies. Findings – The inherent similarities between the concept of resilience and CAS provides ample practical and theoretical contributions to the field of disaster risk studies. Originality/value – The paper provides a different perspective to the contemporary discourse on disaster resilience. A better understanding of disaster resilience and its underlying dynamics as illuminated by the application of CAS could in future provide an effective tool to manage disaster risks and building of resilience.
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42

Zhang, Jie, Souma Chowdhury, Junqiang Zhang, Achille Messac, and Luciano Castillo. "Adaptive Hybrid Surrogate Modeling for Complex Systems." AIAA Journal 51, no. 3 (March 2013): 643–56. http://dx.doi.org/10.2514/1.j052008.

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43

Benham-Hutchins, Marge, and Thomas R. Clancy. "Social Networks as Embedded Complex Adaptive Systems." JONA: The Journal of Nursing Administration 40, no. 9 (September 2010): 352–56. http://dx.doi.org/10.1097/nna.0b013e3181ee42bc.

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44

McCarthy, Ian P. "Technology management a complex adaptive systems approach." International Journal of Technology Management 25, no. 8 (2003): 728. http://dx.doi.org/10.1504/ijtm.2003.003134.

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45

Paperin, Greg, David G. Green, and Suzanne Sadedin. "Dual-phase evolution in complex adaptive systems." Journal of The Royal Society Interface 8, no. 58 (January 19, 2010): 609–29. http://dx.doi.org/10.1098/rsif.2010.0719.

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Understanding the origins of complexity is a key challenge in many sciences. Although networks are known to underlie most systems, showing how they contribute to well-known phenomena remains an issue. Here, we show that recurrent phase transitions in network connectivity underlie emergent phenomena in many systems. We identify properties that are typical of systems in different connectivity phases, as well as characteristics commonly associated with the phase transitions. We synthesize these common features into a common framework, which we term dual-phase evolution (DPE). Using this framework, we review the literature from several disciplines to show that recurrent connectivity phase transitions underlie the complex properties of many biological, physical and human systems. We argue that the DPE framework helps to explain many complex phenomena, including perpetual novelty, modularity, scale-free networks and criticality. Our review concludes with a discussion of the way DPE relates to other frameworks, in particular, self-organized criticality and the adaptive cycle.
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46

Rao, Balkrishna C. "On complex systems of adaptive frugal products." Royal Society Open Science 7, no. 7 (July 2020): 192057. http://dx.doi.org/10.1098/rsos.192057.

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Frugal products possess a proper mix of features including minimal consumption of resources, good functionality under nominal conditions and low cost. Therefore, increasing use of frugal products, that are designed and also fabricated systematically, is crucial to all-round sustainable development . However, their low factor-of-safety rigorous-design makes them inherently prone to failure under conditions of overloading. And multitudes of such coupled-products would create topologies of interconnected complex systems in the foreseeable future whose individual products should be made to adapt against any events of failure to enhance functionality while maintaining low cost. Accordingly, this paper proposes a two-pronged methodology for adaptation of frugal products along with ramifications of complex systems of frugal products. The adaptation methodology is crucial to the functioning of individual and also networks of frugal products and this work accordingly explicates scenarios of ensuing networks. Other than application to various sectors including electric vehicles , a basic example of which is covered in this paper, the proposed adaptation-and-networking framework can also be applied to a growing numbers of sustainable products, which are frugal according to the terminology of this effort and hence prone to premature failure.
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47

Ratnapalan, Savithiri, and Daniel Lang. "Health Care Organizations as Complex Adaptive Systems." Health Care Manager 39, no. 1 (2020): 18–23. http://dx.doi.org/10.1097/hcm.0000000000000284.

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48

Clymer, John R. "Simulation-Based Engineering Of Complex Adaptive Systems." SIMULATION 72, no. 4 (April 1999): 250–60. http://dx.doi.org/10.1177/003754979907200404.

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49

Hasgall, Alon. "Digital social networks as complex adaptive systems." VINE 43, no. 1 (February 8, 2013): 78–95. http://dx.doi.org/10.1108/03055721311302151.

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50

Grus, L., J. Crompvoets, and A. K. Bregt. "Spatial data infrastructures as complex adaptive systems." International Journal of Geographical Information Science 24, no. 3 (March 10, 2010): 439–63. http://dx.doi.org/10.1080/13658810802687319.

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