The Relational Collision Model: A Proposed Framework for Profile-Specific Interaction Dynamics, PAG-Mediated Conflict Cascades, and the Metabolic Tax of Attachment-Discordant Dyads

Background: Nine earlier preprints on the Attachment Blueprint Model (ABM) have proposed a neurobiological account of individual attachment regulation, from calibration of the defensive system at birth (The Birth Pulse) through molecular mechanisms (Systemic Acquired Disorganized Attachment) to intervention sequencing (The SADA Recalibration Protocol). However, the existing framework addresses the individual organism in relative isolation. What remains unaddressed is the interaction dynamics that emerge when two differently calibrated nervous systems enter sustained proximity: the dyadic collision problem. Objective: This paper introduces the Relational Collision Model (RCM), a proposed PAG-based framework for predicting, classifying, and intervening in attachment-discordant dyadic conflict. The model extends the three-profile ABM taxonomy (Architect, Radar, Special Forces) to a five-profile system by differentiating the Disorganized attachment phenotype into Controlling-Punitive (CP) and Controlling-Caregiving (CC) subtypes, building on the controlling subtypes described by Main and Cassidy (1988), coded in the preschool system of Cassidy and Marvin (1992), and related to behavior problems by Moss et al. (2004, 2006). This expansion yields 15 distinct dyadic collision configurations, each with a proposed PAG-column activation sequence, conflict cascade, metabolic cost signature, and intervention requirement. Approach: The model draws on six bodies of evidence: (1) Gottman's physiological research on Diffuse Physiological Arousal (DPA) and the "Four Horsemen" mapped onto PAG column activation; (2) Porges' Polyvagal Theory as a framework for co-regulation and co-dysregulation, whose premises have been contested (Grossman, 2023); (3) hyperscanning research on Interpersonal Neural Synchrony (INS) as a biomarker of dyadic alignment; (4) Panksepp's affective neuroscience framework (PANIC/GRIEF, RAGE, FEAR systems) as the subcortical engines of relational behavior; (5) allostatic load and neuroimmunological research on the metabolic cost of chronic relational stress; and (6) the differentiation of disorganized attachment into Controlling-Punitive and Controlling-Caregiving subtypes (Main & Cassidy, 1988; Cassidy & Marvin, 1992) and the externalizing and internalizing problems reported for them (Moss et al., 2004, 2006). Proposed model: The 15-configuration collision matrix is organized into four proposed tiers: Tier 1 (Acute Risk), configurations involving CP or SFu profiles that carry violence risk and trauma bonding dynamics requiring safety planning before dyadic intervention; Tier 2 (Invisible Damage), configurations involving CC profiles where internalization, somatization, and autoimmune consequences accumulate without visible conflict; Tier 3 (Classical Visible), configurations involving Radar profiles with observable protest-pursuit dynamics; Tier 4 (Silent Erosion), Architect-dominated configurations with gradual bond dissolution. Each configuration generates specific, testable predictions regarding conflict onset latency, escalation trajectory, metabolic cost distribution, somatization patterns, and intervention response. Conclusions: To the author's knowledge, the Relational Collision Model is the first profile-specific, neurobiologically informed framework proposed to explain why specific attachment combinations produce specific conflict patterns. The model has not yet been empirically tested. By treating dyadic conflict as a mechanical interaction between calibrated defense systems rather than a failure of communication or character, the model opens pathways for targeted, hardware-first couple intervention.