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Dalir, Ramin, Hassani Ahangar, Ali, Aghayani, Mohammadamin, Nasirzadeh, Mohammad, Miri Zarandi, Mojtaba. (1405). Dialectical Synthesis of Laboratory and Policy Simulator in the Light of Actor-Network Theory: Reciprocal Calibration and Black Box Formation in the Governance of Complex Adaptive Systems. پدافند الکترونیکی و سایبری, (), -.
Ramin Dalir; Ali Hassani Ahangar; Mohammadamin Aghayani; Mohammad Nasirzadeh; Mojtaba Miri Zarandi. "Dialectical Synthesis of Laboratory and Policy Simulator in the Light of Actor-Network Theory: Reciprocal Calibration and Black Box Formation in the Governance of Complex Adaptive Systems". پدافند الکترونیکی و سایبری, , , 1405, -.
Dalir, Ramin, Hassani Ahangar, Ali, Aghayani, Mohammadamin, Nasirzadeh, Mohammad, Miri Zarandi, Mojtaba. (1405). 'Dialectical Synthesis of Laboratory and Policy Simulator in the Light of Actor-Network Theory: Reciprocal Calibration and Black Box Formation in the Governance of Complex Adaptive Systems', پدافند الکترونیکی و سایبری, (), pp. -.
Dalir, Ramin, Hassani Ahangar, Ali, Aghayani, Mohammadamin, Nasirzadeh, Mohammad, Miri Zarandi, Mojtaba. Dialectical Synthesis of Laboratory and Policy Simulator in the Light of Actor-Network Theory: Reciprocal Calibration and Black Box Formation in the Governance of Complex Adaptive Systems. پدافند الکترونیکی و سایبری, 1405; (): -.

Dialectical Synthesis of Laboratory and Policy Simulator in the Light of Actor-Network Theory: Reciprocal Calibration and Black Box Formation in the Governance of Complex Adaptive Systems

Emerging Technologies and Governance
مقالات آماده انتشار، پذیرفته شده، انتشار آنلاین از تاریخ 07 تیر 1405
نوع مقاله: Research Articles
نویسندگان
Ramin Dalir* 1؛ Ali Hassani Ahangar2؛ Mohammadamin Aghayani3؛ Mohammad Nasirzadeh4؛ Mojtaba Miri Zarandi5
1Artificial Intelligence Center, Faculty of Artificial Intelligence and Cognitive Sciences, Imam Hussein (AS) University
2Faculty of Management, Imam Hossein University (IHU), Tehran, Iran
3Faculty of Management, Imam Sadiq University (ISU), Tehran, Iran
4Faculty of Literature and Humanities, Kharazmi University (KHU)
5Faculty of Governance, University of Tehran (UT), Tehran, Iran
تاریخ دریافت: 19 اردیبهشت 1405،  تاریخ بازنگری: 16 خرداد 1405،  تاریخ پذیرش: 10 تیر 1405 
چکیده
The root of governance dysfunction lies in the epistemological rupture between the linear logic of traditional decision models and the nonlinear, feedback-driven nature of complex adaptive systems. This gap predisposes policy laboratories to environmental reductionism and simulators to algorithmic rigidity. The “policy laboratory–simulator” model is proposed as an optimal decision-support mechanism for adapting to such systems. The central question is how methodological synthesis between the behavioral capacities of the laboratory and the computational power of the simulator can yield an integrated governance framework for radical uncertainty. Drawing on Actor–Network Theory, this study tests the hypothesis that dialectical integration through reciprocal calibration generates an adaptive decision-making ecosystem. By addressing the blind spots of both approaches—environmental reductionism and algorithmic rigidity—this ecosystem enables the observation of emergent properties and the prediction of systemic breakdown points. The findings indicate that this methodological synergy stabilizes the agency of computational models alongside human actors, bridging the gap between mathematical abstraction and concrete governance reality. Consequently, the proposed model facilitates a transition from technocratic management to wisdom-based governance in complex systems.
کلیدواژه‌ها
Complex Adaptive Systems؛ Policy Laboratory؛ Policy Simulator؛ Actor-Network Theory؛ Reciprocal Calibration
آمار
تعداد مشاهده مقاله: 1