Extended Abstract
Introduction
Due to the absence of a formal stabilizing control system, Strategic Stabilization in Anarchic International Systems has held a special position in their functioning and is considered a determinant of the desired order. Nations rely on their stabilization capability to ensure security and survival. International Relations deals with the study of one of the largest systems—the international system—which faces diverse dynamics. This system has experienced various configurations, all reflecting patterns of distinct orders. What remains common across all these patterns is the issue of war and instability in orders, with order control as a fundamental concern. Addressing this concern is directly linked to the type of international systems, which include simple, complex, and chaotic systems—or in other words, linear and nonlinear international systems. The emergence of new dynamics in complex-chaotic international systems has left International Relations literature lagging in this field. Therefore, the central question of this research is the model of strategic stabilization in the nonlinear state of international order. Stabilization is directly connected to the functional and operational environment of the international system, which includes four zones; the normal zone of the international system’s functioning, the complexity zone of the international system, the chaotic zone and the edge of chaos, the dissipative order zone. Based on these four zones, four distinct stabilization models can be identified; - Conventional, Complex stabilization, Chaotic and Dissipative stabilization which conceptualized in networked strategic stability.

Methodology
The research methodology is based on an abductive approach. Although the theory of abduction has ancient historical roots traceable to Aristotle, its contemporary theoretical articulation is attributed to Peirce. Peirce emphasizes the collective nature of inquiry. Essentially, within classical literature, two epistemological models—deduction and induction—have served as the fundamental axes for theorization, each involving a distinct cognitive process. In the inductive model, the examination of case(s) yields results, which ultimately culminate in a rule. Conversely, in the deductive model, rules are emphasized *a priori*; subsequently, the case(s) are examined, leading finally to results .In the model emphasized by Peirce—namely, abduction—rules are first emphasized, and in the second stage, results are specified; finally, cases are situated within the framework of these results, leading to theoretical inference concerning them. Abduction comprises two stages: practical reasoning and theoretical reasoning. In the initial stage, the researcher observes emergent facts possessing specific formulations and characteristics, yet finds themselves unable to situate these characteristics within existing theoretical frameworks.

Result and discussion
Overall, the most salient emergent phenomena observable within this domain are as follows:
- The cognitive emergence of humans recognizing order and stability within the universe and its implication for the existence of a Creator;
- The emergence of the principle of universality governing existence and its relationship to constituent parts;
- The hierarchical nature of systems and the establishment of order and stability within them;
- The identification of general rules governing systems;
- The identification of the principle of diversity governing the system of creation and its other subsystems;
- The identification of the principle of control within systems and its fundamental nature;
- The manifestation of the principle of systemic complexity (compositional, structural, and procession);
- The identification of the principle of uncertainty, non-linearity, and chaotic behavior in systems;
- Internality and self-organization as the highest level of control within systems;
- Systemic intelligence in establishing the stability.
In this context, emergent realities give rise to various hypotheses, the most prominent of which are:
- First Hypothesis: Derived from identifying the process of strategic stability and its systemic frameworks, the foremost discernible concept is *diversity*, arising from the internal dynamics of the system. The principle of diversity transforms strategic stability from a simple, univariate state into a flexible and adaptive one. This hypothesis posits systems theory as the starting point for stability theory;
- Second Hypothesis: Arising from non-linear international systems, including the branching dynamics (cf. Ramification rule) of the international system. The international system comprises diversified blocks and branches of order, each possessing behavioral autonomy in establishing stability. In other words, the branching dynamics of the international system have transformed strategic stability into a block-based framework. This hypothesis underscores the necessity of emphasizing network theory;
- Third Hypothesis: Relates to the expansion of communication dynamics and feedback loops. Here, it can be hypothesized that systemic strategic stability is panarchic (cf. Panarchy theory) due to the existence of communicative-feedback mechanisms among blocks and clusters of order. This hypothesis also necessitates incorporating chaos and complexity theory as integral components of theoretical inquiry within strategic stability theory;
- Fourth Hypothesis: Finally, it is hypothesized that the transformation of the international order into a non-linear-complex order and the formation of novel patterns based on networked order, reveals strategic stability within a framework termed nested networks, the rules of which reflect this structure. The practical and theoretical reasoning embedded within this hypothesis guides research towards combining systems theory, network theory, complexity-chaos theory, and nested network theory as the foundation for a modern theoretical inquiry.
Conclusions
Abduction follows a straightforward logical structure. It commences with the observation of emergent phenomena or anomalous occurrences. In this context, if law or principle *A* holds true, then event *B* would be a natural or plausible consequence. It may therefore be inferred that *A* is valid. Strategic stability has encountered diverse emergent phenomena requiring explanation within the contemporary context. These emergent developments have given rise to multiple hypotheses intrinsically linked to the networked nature of stability. Should strategic stability possess a networked character, the emergence of such a stability paradigm would constitute a natural and feasible outcome. Consequently, the research and inferences derived therefrom are predicated on two modes of reasoning: practical reasoning and theoretical reasoning. Practical reasoning emphasizes emergent phenomena within the realm of strategic stability and the resultant hypotheses. This reasoning demonstrates, through empirical realities and theoretical deliberation, the significance of strategic stability-building within the anarchic international system. This process fundamentally underpins the strategic foundations of states within the international order. Stability-building, oriented towards regulatory strategies of systemic structures, encompasses systemic dynamics – including power, systemic cycles, behavioral patterns, and, most notably, order-control paradigms. It is directly linked to the typology of international systems, specifically simple-linear international systems and complex-chaotic (or non-linear) international systems. Emergent realities within the international system and its systemic order engender various hypotheses. These emergent phenomena – characterized by their diversity, systemic bifurcating, feedback cycles, and power-based or network-based communicative dynamics – postulate the network-based architecture of the order structure. Hence, the conceptualization of order and stability-building within the system is framed as Networked Strategic Stability-Building. This conceptual framework inherently embodies the implications of systemic complexity and non-linearity.