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Adaptive Relational Zoning: a CAS Framework for Modelling Strategic Social Interaction

13 Juni 2025   13:09 Diperbarui: 13 Juni 2025   19:29 370
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Inovasi. Sumber ilustrasi: PEXELS/Jcomp

t (Week 4)

Green

Reestablished V and V; V recedes

t (Week 5)

Green

Stabilization in multiple variables

Interpretive Analysis

Descent into Red Zone: The event results in an immediate shift to Red, due to a drastic collapse of V (trust transparency) and a peak in V (betrayal perception). Despite unchanged external behavior, H's internal interpretation realigns the relationship score significantly.
1.Recovery Phase:
Apology event at t2t triggers the model's adaptive recovery mechanism: an increase in the receptivity threshold, moderating the decay rate of V and softening the punitive weight on V.
By t3t, repeated empathetic gestures (measured as emotional labor V) begin to restore mutuality signals, enabling a Yellow Zone transition.
2. Resolidification:
By t4t, continued behavioral alignment (punctuality, affirmation, shared activity) boosts V and V.
The model now reclassifies the relationship as Green, with high future recovery potential, though not yet fully "White" due to persistent but subdued memory of the breach.

Model Contributions in Personal Recovery Contexts

Temporal Adaptivity: The model incorporates lag effects, showing that variable changes do not translate linearly into relational zone changes. For instance, quick apologies (V) may not immediately restore trust without sustained V and V.
Emotional Signal Weighting: Variables such as emotional labor (V) or memory (V) can dynamically increase in weight in trauma recovery scenarios, allowing context-sensitive scoring.
Betrayal Aversion Modeling: The spike in V reveals how emotional overreaction can dominate the scoring matrix temporarily, even in long-term positive relationships.

This case supports the theoretical claim that adaptive relational modeling offers a mathematically grounded but emotionally intelligent framework for simulating and guiding human reconciliation processes.

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