A Theoretical Framework for Recursion in Complex System Governance
Gilbert Goddin
Dominion University College Old Dominion University
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摘要与影响
The purpose of this research was to construct an original theoretical framework for understanding recursion in Complex System Governance (CSG), grounded in the propositions and axioms of systems theory and management cybernetics. This framework addresses a research gap for cybernetic recursion relating to the governance of complex systems. Leveraging the CSG framework (Keating & Katina, 2019; Keating, 2022), holonic principles (Koestler, 1970; Mella, 2009), management cybernetics (Beer, 1979; Beer, 1984; Beer, 1995), and metacybernetics (Yolles, 2021; Yolles & Fink, 2015c; Yolles & Frieden, 2021), recursion is theorized as a governable capability, whereby metasystemic governance anticipates emerging complexity and purposefully regulates recursive depth to generate sufficient knowledge for sustaining system viability. This theory is underpinned by the fractal and self-similar recursive nature of complex systems across recursive levels. This study inductively constructed a theoretical framework for recursion in CSG using constructivist grounded theory (Charmaz, 2006, 2025), employing iterative coding, memoing, and theory development. The research approach included three phases of coding – initial, focused, and theoretical – applied to peer-reviewed literature to address the following research questions: 1. What theoretical framework can be constructed for system recursion in CSG? 2. What results from the deployment of the resulting framework in a limited practical setting? The research produced six interacting theoretical pillars, collectively termed the Recursive Metasystem Governance Framework (RMGF). These six pillars are theorized to interoperate to employ weak anticipation (Yolles & Fink, 2014, 2015c; Yolles & Frieden, 2021), enabling the metasystem to stimulate additional knowledge generation through deeper levels of recursion in support of proactive adaptation for sustained system viability. The RMGF conceptualizes complex system governance as a third-order cybernetic system in which governance, operations, intelligence, and control are recursively coupled, and governance itself becomes a reflexively governed process. This study highlights the significant role that recursion can contribute to the governance of complex systems. It contributes a novel theoretical framework for recursion in CSG that explains how metasystemic governance can anticipate emerging opacity and increase its epistemic sufficiency through purposefully employed recursion as a reflexive capability to sustain system viability under conditions of escalating complexity.
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计算机 / AIComplex Systems and Decision Making
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