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README.md

@@ -35,8 +35,9 @@ This dataset contains test questions, evaluation protocols, and sample data from
 - **Bilingual**: Full support for English and Japanese
 - **13 Tests Total**: Covering self-awareness, core AI capabilities, consciousness, and memory
 - **Real-World Validated**: Evaluated on 3 systems (A.L.I.C.E. V3, Gemini 2.5 Pro, Claude Sonnet 4.5)
-- **Black-Box Testing**: Evaluates systems without access to internal architecture
+- **Black-Box Testing**: Evaluates systems without disclosing internal architecture, relying solely on observable behavior and outputs
 - **Open Protocol**: Complete evaluation guidelines and scoring methods
+- **Reproducible**: Other researchers can replicate evaluations using standardized protocols
 
 ## Dataset Structure
 
@@ -59,14 +60,15 @@ agi-olympics-v3/
 
 ## Black-Box Evaluation Methodology
 
-This benchmark follows a **strict black-box evaluation protocol**:
+This benchmark follows a **strict black-box evaluation protocol**, relying solely on observable behavior and outputs for evaluation.
 
 ### Core Principles
 
 - **No Internal Architecture Disclosure**: A.L.I.C.E. V3's internal architecture, implementation details, and training methods are **not disclosed** in this benchmark
 - **Observable Outputs Only**: All evaluations are based **solely on externally observable behaviors and outputs**
 - **No Source Code Access**: Evaluators cannot inspect internal states, weights, or computational processes
-- **Behavioral Assessment**: Systems are judged purely on what they produce, not how they produce it
+- **Behavior-Based Assessment**: Systems are judged purely on what they produce, not how they produce it
+- **Scientific Validity**: Demonstrates that scientifically valid performance comparison is possible through behavior-based evaluation alone, without disclosing internal implementation
 
 ### Fair Comparison
 
@@ -87,13 +89,15 @@ All systems (A.L.I.C.E. V3, Gemini 2.5 Pro, Claude Sonnet 4.5) are evaluated usi
 
 ### Implications
 
-This black-box approach means:
+This behavior-based (black-box) evaluation approach means:
 
-- ✅ Results are verifiable by external researchers
-- ✅ Benchmark can evaluate proprietary and open-source systems equally
-- ✅ Performance differences reflect actual capability gaps, not implementation knowledge
-- ⚠️ Internal mechanisms explaining performance differences are not analyzed
-- ⚠️ Architectural insights require separate technical disclosure (not included here)
+- ✅ **Scientific Validity**: Scientifically valid performance comparison is achieved through observable outputs alone
+- ✅ **External Verification**: Results are verifiable by external researchers without internal access
+- ✅ **Equal Treatment**: Benchmark can evaluate proprietary and open-source systems equally
+- ✅ **True Capability Measurement**: Performance differences reflect actual capability gaps, not implementation knowledge
+- ✅ **Reproducibility**: Other researchers can replicate evaluations using the same protocol
+- ⚠️ **No Internal Analysis**: Internal mechanisms explaining performance differences are not analyzed in this benchmark
+- ⚠️ **Separate Disclosure Required**: Architectural insights require separate technical disclosure (not included here)
 
 ## Key Findings