feat: Add experiments framework and novelty-driven agent loop
- Add complete experiments directory with pilot study infrastructure
- 5 experimental conditions (direct, expert-only, attribute-only, full-pipeline, random-perspective)
- Human assessment tool with React frontend and FastAPI backend
- AUT flexibility analysis with jump signal detection
- Result visualization and metrics computation
- Add novelty-driven agent loop module (experiments/novelty_loop/)
- NoveltyDrivenTaskAgent with expert perspective perturbation
- Three termination strategies: breakthrough, exhaust, coverage
- Interactive CLI demo with colored output
- Embedding-based novelty scoring
- Add DDC knowledge domain classification data (en/zh)
- Add CLAUDE.md project documentation
- Update research report with experiment findings
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>