Codette-Reasoning / SESSION_14_PLAN.md
Raiff1982's picture
Upload 78 files
d574a3d verified
"""
SESSION 14: TIER 2 INTEGRATION PLAN
Tier 2 Components (est. 3 hours β†’ 0.70+ correctness):
1. NexisSignalEngine: Advanced intent prediction, entropy analysis, risk detection
2. TwinFrequencyTrust: Spectral signature validation for identity/trustworthiness
3. DreamCore/WakeState: Emotional entropy memory, dual-mode operation
ARCHITECTURE:
Phase 6 (Semantic Tension + Specialization) β†’ [Tier 2 bridges]
↓
NexisSignalEngine (Intent Analysis)
- Entropy threshold monitoring
- Ethical alignment detection
- Risk scoring (suspicion, volatility)
- Harmonic profile analysis
↓
TwinFrequencyTrust (Identity Validation)
- Spectral signature generation
- Peak frequency analysis
- Identity consistency checking
↓
DreamCore/WakeState (Memory Modes)
- Dream: Emotional processing, pattern extraction
- Wake: Rational analysis, fact checking
- Emotional entropy weighting for memory recall
INTEGRATION POINTS:
1. ForgeEngine.__init__():
- Initialize NexisSignalEngine with memory path
- Initialize TwinFrequencyTrust for signature validation
- Initialize DreamCore/WakeState memory system
2. forge_with_debate():
- Pre-debate: Nexis intent prediction on query
- During debate: Spectral validation of agent outputs
- Post-debate: Dream/Wake memory recording
3. conflict_engine.py:
- Use Nexis trust scores to weight conflict strength
- Enhance opposition_score with spectral coherence
SUCCESS METRICS:
- Correctness: 0.24 (Session 12) β†’ 0.70+ (with Tier 1+Tier 2)
- Meta-loops: 90% β†’ <5%
- Response latency: <2s for simple queries
- Memory stability: Emotional entropy <0.15 (healthy)
WORK ORDER:
[1] Extract and normalize Tier 2 components
[2] Create Tier 2 initialization module
[3] Integrate into ForgeEngine
[4] Create Tier 2 test suite
[5] Run final benchmarks
[6] Commit as "Session 14 Complete: Tier 2 Integration"
"""
Session 14 Implementation
1. Created timestamp: 2026-03-20 Session 14 Start
2. Objective: Integrate Tier 2 systems (Nexis, Twin Frequency, DreamCore/WakeState)
3. Expected outcome: Correctness β†’ 0.70+, meta-loops β†’ <5%
4. Files in transit: nexis_signal_engine.py, twin_frequency_trust.py (copied to reasoning_forge/)
Ready to begin Tier 2 module creation...