Clarity Engine - Cognitive Behavioral Model

Core Proposition

The CBM captures and replicates your unique decision-making patterns as a behavioral core module within the system architecture.

1. Behavioral Mapping

Record problem-solving sequences
Model "if-this-then-that" logic flows
Document decision thresholds

/behavioral_mapping/

2. Value Weighting

clarity: 0.8 speed: 0.6 safety: 0.9

Numerical weights assigned to reasoning priorities

3. Decision Heuristics

                            if (ambiguity > threshold) {

                              weight = clarity * 0.8 + safety * 0.9;

                            } else {

                              weight = speed * 0.6;

                            }

4. Feedback Calibration

85% alignment

System adjusts weights when divergence > 15%

Implementation Framework

Core Module Structure

/cbm_engine/
│
├── decision_flows/       # Your behavioral patterns
│   ├── problem_solving.json
│   ├── crisis_response.json
│   └── trade_offs.json
│
├── value_weights/        # Your priority weightings  
│   ├── ethics_weights.csv
│   ├── operational_weights.csv
│   └── safety_weights.csv
│
├── heuristic_rules/      # Compiled decision logic
│   ├── primary_rules.py
│   └── fallback_rules.py
│
└── feedback_loop/        # Calibration system
    ├── divergence_logs/
    └── weight_adjuster.py

Integration Points

Cognitive Layer

Provides raw inputs and receives final decisions

Governance Layer

Audits decisions against ethical constraints

Learning Layer

Receives feedback for continuous calibration

Verification Protocol

Behavioral Fidelity Test

90%+ match to your historical decisions under equivalent conditions

Weight Drift Monitoring

Alerts when core value weights shift >5% without authorization

Constraint Adherence

100% compliance with defined ethical and operational boundaries

Critical Note

This module represents your functional identity - not consciousness or subjective experience. It operationalizes your decision patterns.