5. Systemic and Multi-Layered Agency
The ARZ model understands relational positioning as multi-layered and systemic. Individuals are agents within interlocking systems---familial, professional, political---and may simultaneously occupy multiple zones in different domains. A person may be in the Green Zone emotionally, but in the Yellow Zone professionally, and in the Clear Zone politically.
This philosophical stance aligns with polycontextural logic and multi-agent modeling, allowing the ARZ framework to scale across domains, capture relational tensions, and simulate relational overlays that traditional frameworks often ignore.
6. Reflexivity and Meta-Cognition
Finally, ARZ is rooted in reflexive theory: individuals are not only actors but observers of their own positioning. This implies meta-cognitive capability to reassess relational zones, update tactical stances, and revise moral judgments. The model assumes that actors continuously simulate the simulations of others, making relational positioning both performative and anticipatory.
In sum, the philosophical architecture of ARZ is intentionally non-dogmatic, strategic, and dynamically realist---built for environments where ambiguity is the rule, and adaptive intelligence is the only stable constant.
IV. Formal Model
A. Relational Scoring Function:
We propose a Relational Scoring Function (RSF) to quantify and track the dynamic state of a dyadic relationship between individuals ii and jj over time tt. The function is designed to be modular, temporal, and context-sensitive, accommodating fluctuations in trust, behavior, and strategic intent.
Rij(t)=k=1nwkVk,ij(t)+CR_{ij}(t) = \sum_{k=1}^n w_k \cdot V_{k,ij}(t) + C
Where:
