Complexity-thinking and social science: Self-organization involving human consciousness

Sherblom, Stephen A.

doi:10.1016/j.newideapsych.2017.03.003

Cited by 14 publications

(21 citation statements)

References 7 publications

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“…Self‐organizing processes depend on external input, by physical and emotional relationships to others. Furthermore, self‐organization is influenced by social support, such as assistance with information seeking and avoiding, giving acceptance or validation, allowing ventilation and encouraging perspective shifts 44,56 …”

Section: Resultsmentioning

confidence: 99%

Developing a theoretical definition of self‐organization: A principle‐based concept analysis in the context of uncertainty in chronic illness

2022

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Aim: To develop a theoretical definition of self-organization to increase the understanding of the Reconceptualized Uncertainty in Illness Theory (RUIT).Background: Mishel described the change of the uncertainty appraisal over time in people with a chronic illness by means of the RUIT. Therefore, she introduced the concept of self-organization. However, its meaning is difficult to comprehend because its descriptions remained highly abstract. Design: A principle-based concept analysis. Data Source: Entries of lexicons and journal publications, explicitly or implicitly addressing self-organization in the context of any social phenomenon. Review Methods: We conducted a conceptually driven literature search in lexicons and four databases and performed citation tracking. Results: Self-organization stands for a transition between psychological instability and psychological adjustment. It is conditioned by illness-related obstacles or uncertainties that are perceived as life-threatening. This adaptation process shows overlaps with cognitive reframing and is promoted by time, resilience, social support, and positive development of the disease. It leads to empowerment and a new perspective of life and uncertainty. Conclusions: We enhanced the understanding of the RUIT by developing a theoretical definition of self-organization on a lower level of abstraction and by proposing a new approximation for the operationalization by means of cognitive reframing.

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Section: Resultsmentioning

confidence: 99%

Developing a theoretical definition of self‐organization: A principle‐based concept analysis in the context of uncertainty in chronic illness

2022

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“…If external instructions organize a system, it is be-organized; If there is no external instruction, the system automatically forms an orderly structure according to some tacit rules, it is self-organized. From the perspective of system theory, "self-organized" refers to the process that a system develops from simple to complex, from rough to detailed, and constantly improves its complexity and fineness driven by internal mechanisms (Sherblom & Stephen, 2017).…”

Section: Cognitive Driven Mode Of Primitive Physics Problem: From Dat...mentioning

confidence: 99%

The Measuring Instrument of Primitive Physics Problem for Upper-Secondary School Students: Compilation and Exploration

Han

Liu

2022

JBSE

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Problem solving is considered one of the most critical competencies for life. However, many students may perform well in school yet cannot transfer the skills they learned in school to solve real-world problems, especially in science education. This study discusses the characteristics of the problem from the physics education perspective, based on Problem Representation Theory, and proposes a new type of problem: The Primitive Physics Problem. Moreover, the significance and contribution in promoting students' physics problem-solving ability, both theoretical and empirical, are described. Then the study develops a set of instruments that was tested on 811 students in 12th grade from 10 upper-secondary schools in China. The results showed that the new instrument had good reliability and validity. The promising application in the instruction of the Primitive Physics Problem and in measuring upper-secondary school students' problem-solving ability of the instrument is discussed. Keywords: primitive physics problem; problem solving; problem representation theory; assessment instrument.

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“…As an investigative framework, complexity science has been applied to phenomena studied in a variety of disciplines, including, but not limited to, biology, chemistry, economics, physics, and sociology (e.g., Boccara, ; Fuchs, ; Hooker, ; Mainzer, ; Mitchell, ; Müller, Plath, Radons, & Fuchs, ). The cognitive, neural, and psychological sciences increasingly employ various aspects of complexity science (e.g., Favela, ; Guastello, Koopmans, & Pincus, ; Sherblom, ; Sporns, Tononi, & Edelman, ; Tognoli & Kelso, ; Tomen, Herrmann, & Ernst, ; Tsuda, ). For example, concepts such as phase transitions (Wiltshire, Butner, & Fiore, ) and self‐organization (Dale, Fusaroli, Duran, & Richardson, ) are utilized along with methods like agent‐based modeling (Sayama, ) and time‐series analyses (Riley & Van Orden, ), and then given theoretical grounding via theories such as catastrophe theory (Poston & Stewart, ) and universality classes (Timme et al, ).…”

Section: What Is Complexity Science?mentioning

confidence: 99%

Cognitive science as complexity science

Favela

2020

WIRES Cognitive Science

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It is uncontroversial to claim that cognitive science studies many complex phenomena. What is less acknowledged are the contradictions among many traditional commitments of its investigative approaches and the nature of cognitive systems. Consider, for example, methodological tensions that arise due to the fact that like most natural systems, cognitive systems are nonlinear; and yet, traditionally cognitive science has relied on linear statistical data analyses. Cognitive science as complexity science is offered as an interdisciplinary framework for the investigation of cognition that can dissolve such contradictions and tensions. Here, cognition is treated as exhibiting the following four key features: emergence, nonlinearity, self‐organization, and universality. This framework integrates concepts, methods, and theories from such disciplines as systems theory, nonlinear dynamical systems theory, and synergetics. By adopting this approach, the cognitive sciences benefit from a common set of practices to investigate, explain, and understand cognition in its varied and complex forms. This article is categorized under: Computer Science > Neural Networks Psychology > Theory and Methods Philosophy > Foundations of Cognitive Science Neuroscience > Cognition

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Complexity-thinking and social science: Self-organization involving human consciousness

Cited by 14 publications

References 7 publications

Developing a theoretical definition of self‐organization: A principle‐based concept analysis in the context of uncertainty in chronic illness

Developing a theoretical definition of self‐organization: A principle‐based concept analysis in the context of uncertainty in chronic illness

The Measuring Instrument of Primitive Physics Problem for Upper-Secondary School Students: Compilation and Exploration

Cognitive science as complexity science

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