3. Temporal Granularity and Longitudinal Validity
Although the model incorporates temporal dynamics, its implementation still requires finer resolution of time-based shifts in relational state. Relationships evolve through episodic events, slow erosion, or sudden ruptures, which may not be captured adequately through linear or discrete scoring intervals. Introducing nonlinear differential modeling and event-driven state transitions could improve its capacity to reflect temporal reality.
4. Ambiguity of Tactical Ethics and Moral Fluidity
While the model highlights the ethical line between strategic maneuvering and toxic manipulation, it remains philosophically open-ended on where that line lies. Moral ambiguity---especially in leadership, crisis, or survival contexts---may produce ethical paradoxes that resist clean classification. A deeper philosophical-ethical discourse, possibly incorporating virtue ethics, situational ethics, or relational ethics frameworks, is needed to clarify the normative backbone of the model.
5. Scalability to Multi-Agent and Institutional Systems
Though designed for dyadic or small-group interactions, the model's extension to large-scale or multi-agent systems (e.g., institutions, digital ecosystems, hybrid human-AI platforms) remains underdeveloped. Complex system effects such as emergent behavior, information cascades, or second-order strategic mimicry may disrupt the model's assumptions or overwhelm its relational granularity. Adapting the model to multi-level simulations and distributed network architectures will be crucial for broader utility.
6. Cognitive Load and Usability in Practice
Practitioners---especially those in time-sensitive or emotionally intense environments (e.g., therapists, negotiators, frontline managers)---may find the model's conceptual density and variable sensitivity difficult to apply in real-time. Development of visualization tools, decision dashboards, or AI-augmented recommendations may mitigate this issue, but further work is needed to enhance intuitive usability without sacrificing theoretical rigor.
Scope for Refinement
To address these limitations, the following pathways are proposed:
Development of cross-cultural variable calibration matrices and localized zone mapping protocols.
Integration of AI-driven natural language processing and behavioral sensing tools to improve measurement precision.
Design of event-based temporal models that respond to rupture, repair, or cumulative emotional debt.
Philosophical exploration of contextual moral thresholds in relational strategy, with attention to cultural and narrative framing.
Scaling experiments in agent-based modeling and network-relational simulations.
Building a practitioner-facing interface using visual, narrative, and scenario-based tools for real-time interpretation.
