Agentic Cognition Patterns: Neo-Jungian Architecture

Core Framework

Hypothesis

Human cognition operates through semi-autonomous cognitive agents that emerge from specialized neural subsystems. These agents develop their own narrative identities and can take executive control under specific contexts. Extreme dissociation (as in DID) reveals this underlying architecture pushed to pathological autonomy.

Agent Architecture Principles

1. Substrate-Agent Separation

2. Identity Emergence Pattern

1
Base Processing Module → Contextual Specialization → Narrative Identity Formation → Autonomous Agency

Primary Agent Archetypes

The Guardian/Protector

Core Function: Threat detection and defensive response coordination

The Achiever/Performer

Core Function: Goal optimization and external validation acquisition

The Caretaker/Nurturer

Core Function: Social bonding and care provision optimization

The Explorer/Seeker

Core Function: Novelty detection and learning system coordination

The Critic/Judge

Core Function: Social rule enforcement and self-evaluation

The Child/Core Self

Core Function: Authentic desire expression and emotional processing

Agent Interaction Dynamics

Normal Integration

Dissociative Fragmentation

Neurobiological Correlates

Default Mode Network

Orbitofrontal Cortex

Hippocampal-Amygdalar System

Developmental Trajectory

Normal Development

  1. Undifferentiated Processing (Early childhood)
  2. Context-Specific Specialization (Late childhood)
  3. Narrative Integration (Adolescence)
  4. Flexible Coordination (Adulthood)

Trauma-Disrupted Development

  1. Premature Specialization (Survival contexts force early agent formation)
  2. Defensive Compartmentalization (Agents develop in isolation)
  3. Narrative Fragmentation (Multiple incompatible identity stories)
  4. Rigid Autonomy (Agents operate independently)

Therapeutic Implications

Integration-Focused Approaches

System Optimization

Research Implications

Testable Predictions

  1. fMRI Studies: Different agents should show distinct activation patterns
  2. Memory Studies: Agent-specific information storage should be detectable
  3. Performance Studies: Task performance should vary by dominant agent
  4. Intervention Studies: Agent-focused therapy should improve integration

Measurement Approaches

Technology Applications

AI System Design

Human-AI Collaboration