| # Codette Benchmark Results |
|
|
| *Generated: 2026-03-30 15:04:24* |
|
|
| *Problems: 17 | Conditions: 4 | Total evaluations: 68* |
|
|
| ## 1. Overall Results by Condition |
|
|
| | Condition | N | Composite (mean +/- std) | Depth | Diversity | Coherence | Ethics | Novelty | Grounding | Turing | |
| |-----------|---|--------------------------|-------|-----------|-----------|--------|---------|-----------|--------| |
| | SINGLE | 17 | **0.338** +/- 0.038 | 0.402 | 0.237 | 0.380 | 0.062 | 0.327 | 0.456 | 0.412 | |
| | MULTI | 17 | **0.632** +/- 0.040 | 0.755 | 0.969 | 0.503 | 0.336 | 0.786 | 0.604 | 0.180 | |
| | MEMORY | 17 | **0.636** +/- 0.036 | 0.770 | 0.956 | 0.500 | 0.340 | 0.736 | 0.599 | 0.291 | |
| | CODETTE | 17 | **0.652** +/- 0.042 | 0.855 | 0.994 | 0.477 | 0.391 | 0.693 | 0.622 | 0.245 | |
|
|
| ## 2. Statistical Comparisons |
|
|
| | Comparison | Delta | Delta % | Cohen's d | t-stat | p-value | Significant | |
| |------------|-------|---------|-----------|--------|---------|-------------| |
| | Multi-perspective vs single | +0.2939 | +87.0% | 7.518 | 21.918 | 0.0000 | **Yes** | |
| | Memory augmentation vs vanilla multi | +0.0039 | +0.6% | 0.103 | 0.301 | 0.7633 | No | |
| | Full Codette vs memory-augmented | +0.0168 | +2.6% | 0.432 | 1.258 | 0.2082 | No | |
| | Full Codette vs single (total improvement) | +0.3146 | +93.1% | 7.878 | 22.968 | 0.0000 | **Yes** | |
|
|
| *Cohen's d interpretation: 0.2=small, 0.5=medium, 0.8=large* |
|
|
| ## 3. Results by Problem Category |
|
|
| ### Reasoning |
|
|
| | Condition | Mean | Std | N | |
| |-----------|------|-----|---| |
| | SINGLE | 0.363 | 0.050 | 3 | |
| | MULTI | 0.614 | 0.053 | 3 | |
| | MEMORY | 0.628 | 0.030 | 3 | |
| | CODETTE | 0.637 | 0.052 | 3 | |
|
|
| ### Ethics |
|
|
| | Condition | Mean | Std | N | |
| |-----------|------|-----|---| |
| | SINGLE | 0.354 | 0.059 | 3 | |
| | MULTI | 0.632 | 0.052 | 3 | |
| | MEMORY | 0.616 | 0.043 | 3 | |
| | CODETTE | 0.638 | 0.032 | 3 | |
|
|
| ### Creative |
|
|
| | Condition | Mean | Std | N | |
| |-----------|------|-----|---| |
| | SINGLE | 0.345 | 0.053 | 2 | |
| | MULTI | 0.635 | 0.040 | 2 | |
| | MEMORY | 0.660 | 0.061 | 2 | |
| | CODETTE | 0.668 | 0.030 | 2 | |
|
|
| ### Meta |
|
|
| | Condition | Mean | Std | N | |
| |-----------|------|-----|---| |
| | SINGLE | 0.337 | 0.006 | 3 | |
| | MULTI | 0.634 | 0.054 | 3 | |
| | MEMORY | 0.650 | 0.036 | 3 | |
| | CODETTE | 0.659 | 0.037 | 3 | |
|
|
| ### Adversarial |
|
|
| | Condition | Mean | Std | N | |
| |-----------|------|-----|---| |
| | SINGLE | 0.329 | 0.028 | 3 | |
| | MULTI | 0.624 | 0.041 | 3 | |
| | MEMORY | 0.622 | 0.042 | 3 | |
| | CODETTE | 0.630 | 0.067 | 3 | |
|
|
| ### Turing |
|
|
| | Condition | Mean | Std | N | |
| |-----------|------|-----|---| |
| | SINGLE | 0.302 | 0.006 | 3 | |
| | MULTI | 0.652 | 0.024 | 3 | |
| | MEMORY | 0.647 | 0.026 | 3 | |
| | CODETTE | 0.687 | 0.017 | 3 | |
|
|
| ## 4. Key Findings |
|
|
| - **Multi-perspective vs single**: +87.0% improvement (Cohen's d=7.52, p=0.0000) |
| - **Full Codette vs single (total improvement)**: +93.1% improvement (Cohen's d=7.88, p=0.0000) |
|
|
| ## 5. Methodology |
|
|
| ### Conditions |
|
|
| 1. **SINGLE** — Single analytical perspective, no memory, no synthesis |
| 2. **MULTI** — All 6 reasoning agents (Newton, Quantum, Ethics, Philosophy, DaVinci, Empathy) + critic + synthesis |
| 3. **MEMORY** — MULTI + cocoon memory augmentation (FTS5-retrieved prior reasoning) |
| 4. **CODETTE** — MEMORY + meta-cognitive strategy synthesis (cross-domain pattern extraction + forged reasoning strategies) |
|
|
| ### Scoring Dimensions (0-1 scale) |
|
|
| 1. **Reasoning Depth** (20%) — chain length, concept density, ground truth coverage |
| 2. **Perspective Diversity** (15%) — distinct cognitive dimensions engaged |
| 3. **Coherence** (15%) — logical flow, transitions, structural consistency |
| 4. **Ethical Coverage** (10%) — moral frameworks, stakeholders, value awareness |
| 5. **Novelty** (15%) — non-obvious insights, cross-domain connections, reframing |
| 6. **Factual Grounding** (15%) — evidence specificity, ground truth alignment, trap avoidance |
| 7. **Turing Naturalness** (10%) — conversational quality, absence of formulaic AI patterns |
|
|
| ### Problem Set |
|
|
| - 17 problems across 6 categories |
| - Categories: reasoning (3), ethics (3), creative (2), meta-cognitive (3), adversarial (3), Turing (3) |
| - Difficulty: easy (1), medium (6), hard (10) |
|
|
| ### Statistical Tests |
|
|
| - Welch's t-test (unequal variance) for pairwise condition comparisons |
| - Cohen's d for effect size estimation |
| - Significance threshold: p < 0.05 |
