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Core Concepts
AgenticCognition is built on five foundational concepts that together form a living model of human consciousness. Each concept operates independently but gains power through int...
AgenticCognition is built on five foundational concepts that together form a living model of human consciousness. Each concept operates independently but gains power through interaction with the others.
Living User Model
A continuously evolving representation of a human mind. Unlike static user profiles or preference databases, the living user model has biological properties:
Lifecycle Stages
The model progresses through six lifecycle stages:
| Stage | Description | Trigger |
|---|---|---|
| Birth | Model is created with minimal data | First creation |
| Infancy | Rapid belief accumulation, high plasticity | Initial interactions |
| Growth | Belief graph deepens, patterns emerge | Sustained engagement |
| Maturity | Stable belief system with crystallized keystones | Extended use |
| Crisis | Contradictions force belief restructuring | Major value conflicts |
| Rebirth | Model restructures around new core beliefs | Resolution of crisis |
Heartbeat Mechanism
Each interaction records a heartbeat that advances the model. Heartbeats carry context (the topic of interaction), observations (inferred beliefs), and timestamps. The accumulation of heartbeats drives lifecycle transitions.
Consciousness Map
The model maintains a consciousness map showing which cognitive regions are currently active. Regions include values, identity, relationships, work, creativity, and growth. Activity levels shift based on recent interactions.
Belief Physics
Beliefs are not static strings. They have physical properties that govern how they interact, evolve, and resist change over time.
Confidence
A real number from 0.0 to 1.0 representing the strength of the belief. Confidence increases when evidence supports the belief and decreases when counter-evidence is observed. Confidence is not the same as truth -- it measures the model's certainty that the person holds this belief.
Crystallization
As a belief accumulates supporting evidence over time, it crystallizes. Crystallized beliefs are resistant to change. They form the bedrock of identity. Crystallization is measured on a scale from 0.0 (fluid) to 1.0 (fully crystallized).
High crystallization is neither good nor bad. Core values often crystallize naturally. However, rigid crystallization of inaccurate self-assessments can create blindspots.
Entanglement
Beliefs are connected through entanglement links. Two beliefs can be entangled in several ways:
- Support: one belief reinforces another
- Tension: two beliefs create cognitive dissonance
- Derivation: one belief is derived from another
- Opposition: two beliefs directly contradict each other
The entanglement network forms the belief graph, a living structure that evolves as new beliefs are added and existing ones shift.
Conviction Gravity
Keystone beliefs exert gravitational pull on surrounding beliefs. When a keystone belief shifts, connected beliefs experience stress. Conviction gravity determines the propagation radius: how far a belief change ripples through the graph.
Collapse
When contradictions between entangled beliefs become irreconcilable, a belief collapse occurs. One belief is abandoned (or significantly weakened) and the belief graph restructures around the surviving belief. Collapse is the mechanism for resolving deep cognitive dissonance.
Shadow Psychology
The shadow is the part of the psyche operating below conscious awareness. AgenticCognition detects and maps shadow structures through behavioral analysis.
Shadow Beliefs
Beliefs held unconsciously that influence behavior without the person's awareness. Shadow beliefs are inferred from patterns: when stated beliefs and observed behavior diverge consistently, a shadow belief is likely operating.
Projections
Attributes that a person ascribes to others but which actually belong to themselves. Projection detection works by identifying recurring attribution patterns that contradict the person's self-model.
Blindspots
Gaps between self-assessment and observed behavior. If a person believes "I am patient" but behavioral evidence shows frequent frustration in specific contexts, the gap is a blindspot.
Defended Regions
Areas of the self-concept that are heavily guarded against change. Defended regions show high crystallization, low openness to counter-evidence, and emotional reactivity when challenged.
Bias Fields
Cognitive bias patterns that distort perception and decision-making. Bias fields are mapped spatially across belief domains, showing where systematic distortions are most active.
Emotional Triggers
Specific topics, patterns, or contexts that activate strong emotional responses disproportionate to the stimulus. Triggers are linked to shadow beliefs and defended regions.
Drift Tracking
Longitudinal monitoring of how beliefs, values, and identity shift over time. Drift tracking operates on three timescales.
Short-term Drift
Changes occurring within days or weeks. Short-term drift often reflects mood, context, or recent experiences rather than genuine value shifts.
Value Tectonics
Slow, deep movement of core value systems over months or years. Like geological tectonic plates, values move gradually but can produce earthquakes when they collide. Value tectonics tracks the direction and velocity of these deep shifts.
Growth Rings
Archaeological layers preserving who the person was at each stage. Like tree rings, growth rings are immutable snapshots of past identity states. They enable temporal comparison: who the person was a year ago versus who they are now.
Drift Alerts
When drift magnitude exceeds a threshold, the system generates an alert. Drift alerts notify the person (or their agent) that a significant belief or value shift is occurring.
Prediction Engine
The preference oracle, decision simulation, and future projection systems use the full belief graph to predict reactions, choices, and identity trajectories.
Preference Oracle
Given a question or option, the preference oracle predicts the person's preference based on their belief system, past decision patterns, and value alignment. Predictions include a confidence score and a reasoning chain.
Decision Simulation
Given a scenario with multiple options, the decision simulator evaluates each option against the person's values, beliefs, and behavioral patterns. It produces per-option scores and a recommended choice with explanation.
Future Projection
Using current drift trajectories and value tectonics, the future projection system estimates where the person's identity is heading. Projections are probabilistic and include confidence intervals.