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Web4 Phase 2b: Long-Duration Validation (1000 cycles)
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Generating 1000 coordination cycles...
✓ Generated 1000 cycles

Initializing Phase 2b coordinator...
  - Epistemic tracking: enabled
  - Learning: enabled (updates every 100 cycles)
  - Interventions: enabled

Running 1000 coordination cycles...


[Cycle 100] Updating learned patterns from 100 cycles...
  Patterns: 1
  Success factors: 0
  Network insights: 0
  Prediction accuracy: 30.0%
Cycle  100: Coord rate: 66.0% | Avg conf: 0.529 | Patterns:  1 | Learning acc: 30.0% | Rate: 66031.2 c/s

[Cycle 200] Updating learned patterns from 200 cycles...
  Patterns: 1
  Success factors: 0
  Network insights: 0
  Prediction accuracy: 50.0%
Cycle  200: Coord rate: 60.0% | Avg conf: 0.339 | Patterns:  1 | Learning acc: 50.0% | Rate: 46175.0 c/s

[Cycle 300] Updating learned patterns from 300 cycles...
  Patterns: 1
  Success factors: 0
  Network insights: 0
  Prediction accuracy: 25.0%
Cycle  300: Coord rate: 62.0% | Avg conf: 0.454 | Patterns:  1 | Learning acc: 25.0% | Rate: 41194.7 c/s

[Cycle 400] Updating learned patterns from 400 cycles...
  Patterns: 1
  Success factors: 0
  Network insights: 0
  Prediction accuracy: 65.0%
Cycle  400: Coord rate: 58.8% | Avg conf: 0.255 | Patterns:  1 | Learning acc: 65.0% | Rate: 38449.9 c/s

[Cycle 500] Updating learned patterns from 500 cycles...
  Patterns: 1
  Success factors: 0
  Network insights: 0
  Prediction accuracy: 30.0%
Cycle  500: Coord rate: 58.4% | Avg conf: 0.488 | Patterns:  1 | Learning acc: 30.0% | Rate: 36441.8 c/s

[Cycle 600] Updating learned patterns from 600 cycles...
  Patterns: 1
  Success factors: 0
  Network insights: 0
  Prediction accuracy: 45.0%
Cycle  600: Coord rate: 58.0% | Avg conf: 0.497 | Patterns:  1 | Learning acc: 45.0% | Rate: 34740.2 c/s

[Cycle 700] Updating learned patterns from 700 cycles...
  Patterns: 1
  Success factors: 0
  Network insights: 0
  Prediction accuracy: 35.0%
Cycle  700: Coord rate: 57.3% | Avg conf: 0.442 | Patterns:  1 | Learning acc: 35.0% | Rate: 33186.2 c/s

[Cycle 800] Updating learned patterns from 800 cycles...
  Patterns: 1
  Success factors: 0
  Network insights: 0
  Prediction accuracy: 50.0%
Cycle  800: Coord rate: 58.0% | Avg conf: 0.301 | Patterns:  1 | Learning acc: 50.0% | Rate: 32941.1 c/s

[Cycle 900] Updating learned patterns from 900 cycles...
  Patterns: 1
  Success factors: 0
  Network insights: 0
  Prediction accuracy: 45.0%
Cycle  900: Coord rate: 57.6% | Avg conf: 0.359 | Patterns:  1 | Learning acc: 45.0% | Rate: 32603.3 c/s

[Cycle 1000] Updating learned patterns from 1000 cycles...
  Patterns: 1
  Success factors: 0
  Network insights: 0
  Prediction accuracy: 40.0%
Cycle 1000: Coord rate: 57.0% | Avg conf: 0.439 | Patterns:  1 | Learning acc: 40.0% | Rate: 31905.6 c/s

✓ Completed 1000 cycles in 0.0s (31902.4 cycles/s)

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RESULTS
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Total Cycles: 1000
Coordinations: 570 (57.0%)

Epistemic State Distribution:
  stable      :  51.1%
  converging  :  27.9%
  adapting    :  19.1%
  struggling  :   1.7%
  optimal     :   0.2%

Average Epistemic Metrics:
  Coherence:  1.000
  Confidence: 0.439
  Stability:  0.402

Learning System:
  Patterns extracted: 1
  Success factors: 0
  Network insights: 0
  Final prediction accuracy: 40.0%

Learning Evolution:
  Initial accuracy (cycle 100): 30.0%
  Final accuracy (cycle 1000): 40.0%
  Improvement: +10.0pp

Accuracy Trend (every 100 cycles):
  Cycle  100: ███████████████ 30.0%
  Cycle  200: █████████████████████████ 50.0%
  Cycle  300: ████████████ 25.0%
  Cycle  400: ████████████████████████████████ 65.0%
  Cycle  500: ███████████████ 30.0%
  Cycle  600: ██████████████████████ 45.0%
  Cycle  700: █████████████████ 35.0%
  Cycle  800: █████████████████████████ 50.0%
  Cycle  900: ██████████████████████ 45.0%
  Cycle 1000: ████████████████████ 40.0%

Top Learned Patterns:
  1. Low-quality coordination pattern
     Frequency: 1000, Confidence: 1.000

Quality Trajectory: stable
Confidence Trajectory: stable

Interventions:
  Total triggered: 140
  monitor: 123
  reduce_load: 17

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VALIDATION SUMMARY
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✅ Learning working (1 patterns extracted)
✅ Learning improving over time (+10.0pp)
✅ Interventions triggered (140 times)
✅ Healthy coordination rate (57.0%)

Phase 2b validated over 1000 cycles

