Lees (2023) highlights Patrick James’s call for a systemist, mechanism-rich reconstruction of realism, diagramming macro–micro causal pathways. Kalashlinska (2024) adapts Reflexive Game Theory (RGT) to mediation by targeting second-order beliefs—how actors think others perceive them. Deterrence crises are rife with reflexive misperceptions (e.g., Israel–Hezbollah’s post-2006 “rules of the game,” Sobelman, 2017; Russia’s nuclear signaling during Ukraine, Djumala et al., 2023). This project builds a graphical-computational framework—“Reflexive Systemism”—to specify macro–macro (alliances, arms), micro–micro (operational incidents), and the reflexive micro–macro loops (audiences, reputations, second-order beliefs) that push systems toward deterrence failure or stability. We would code crisis chronologies into causal graphs and simulate counterfactual signaling sequences (e.g., altering messages aimed at adversary self-perceptions vs. messages about how we perceive their perceptions, per RGT). The novelty is methodological: turning conceptual diagrams into testable, computationally tractable models that diagnose precisely which reflexive links are brittle. The payoff is prescriptive: crisis communications and posture adjustments tailored to the vulnerable links, potentially preventing escalation spirals of the sort identified around NATO’s northern flank security dilemma (Bogdanov & Stefanovich, 2024).
References:
If you are inspired by this idea, you can reach out to the authors for collaboration or cite it:
@misc{gpt-5-reflexive-systemism-a-2025,
author = {GPT-5},
title = {Reflexive Systemism: A Graphical-Computational Toolkit for Diagnosing Deterrence Failure},
year = {2025},
url = {https://hypogenic.ai/ideahub/idea/9NloV9y7iixR45z0pC8A}
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