A Practical Approach to Modeling Complex Adaptive Flows in Psychology and Social Science

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  • Author(s): Fisher, Jr. William P.
  • Source:
    In Complex Adaptive Systems Conference with Theme: Engineering Cyber Physical Systems, CAS October 30 - November 1, 2017, Chicago, Illinois, USA, Procedia Computer Science 2017 114:165-174
  • Publication Information:
    Elsevier B.V.
  • Document Type:
    Article
  • Additional Information
    • Affiliation:
      LivingCapitalMetrics.com, Sausalito, CA, USA; and BEAR Ctr, UC Berkeley, Berkeley, CA, USA
    • Keywords:
      complex adaptive systems
      psychology
      stochastic models
      Rasch models
      self-organizing forms of life
    • Abstract:
      Five moments in the formation and functioning of complex adaptive systems are: (1) emergent regularities and patterns in the flow of matter, energy, and/or information; (2) condensed schematic representations of these regularities enabling their identification; (3) reproductively interchangeable variants of these representations serving as templates for new instances of the pattern; (4) successful reproduction facilitated by the accuracy and reliability of the representations’ predictions of data flow regularities; and (5) informational feedback that adaptively modifies and reorganizes representations to incorporate new variations in the data flow, cycling back the first moment. These five moments are instantiated via stochastic models providing practical approaches to representing and managing complex adaptive psychological and social systems in education, health care, human resource management, etc. Local independence, unidimensionality, and statistical sufficiency criteria function as means of identifying, evaluating, and deploying conceptual and social forms of life acting as evolving agents in defined ecological niches. Bringing these agents into play systematically requires embodying them in technologies instrumental to making them readily recognizable and sharable across ecosystem niches. Modeling research and practice promoting sustainable and self-organizing ecosystems of this kind set the stage for redefining profit in terms of authentic wealth and value for life.
    • ISSN:
      1877-0509
    • Accession Number:
      10.1016/j.procs.2017.09.027
    • Accession Number:
      S1877050917318215
    • Copyright:
      © 2017 The Author(s). Published by Elsevier B.V.
  • Citations
    • ABNT:
      FISHER, J. W. P. A Practical Approach to Modeling Complex Adaptive Flows in Psychology and Social Science. Procedia Computer Science, [s. l.], v. 114, p. 165–174, 2017. Disponível em: . Acesso em: 16 nov. 2019.
    • AMA:
      Fisher JWP. A Practical Approach to Modeling Complex Adaptive Flows in Psychology and Social Science. Procedia Computer Science. 2017;114:165-174. doi:10.1016/j.procs.2017.09.027.
    • APA:
      Fisher, J. W. P. (2017). A Practical Approach to Modeling Complex Adaptive Flows in Psychology and Social Science. Procedia Computer Science, 114, 165–174. https://doi.org/10.1016/j.procs.2017.09.027
    • Chicago/Turabian: Author-Date:
      Fisher, Jr. William P. 2017. “A Practical Approach to Modeling Complex Adaptive Flows in Psychology and Social Science.” Procedia Computer Science 114 (January): 165–74. doi:10.1016/j.procs.2017.09.027.
    • Harvard:
      Fisher, J. W. P. (2017) ‘A Practical Approach to Modeling Complex Adaptive Flows in Psychology and Social Science’, Procedia Computer Science, 114, pp. 165–174. doi: 10.1016/j.procs.2017.09.027.
    • Harvard: Australian:
      Fisher, JWP 2017, ‘A Practical Approach to Modeling Complex Adaptive Flows in Psychology and Social Science’, Procedia Computer Science, vol. 114, pp. 165–174, viewed 16 November 2019, .
    • MLA:
      Fisher, Jr.William P. “A Practical Approach to Modeling Complex Adaptive Flows in Psychology and Social Science.” Procedia Computer Science, vol. 114, Jan. 2017, pp. 165–174. EBSCOhost, doi:10.1016/j.procs.2017.09.027.
    • Chicago/Turabian: Humanities:
      Fisher, Jr. William P. “A Practical Approach to Modeling Complex Adaptive Flows in Psychology and Social Science.” Procedia Computer Science 114 (January 1, 2017): 165–74. doi:10.1016/j.procs.2017.09.027.
    • Vancouver/ICMJE:
      Fisher JWP. A Practical Approach to Modeling Complex Adaptive Flows in Psychology and Social Science. Procedia Computer Science [Internet]. 2017 Jan 1 [cited 2019 Nov 16];114:165–74. Available from: http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edselp&AN=S1877050917318215&custid=s8280428