2 Commits

Author	SHA1	Message	Date
gbanyan	43c025e060	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>	2026-01-20 10:16:21 +08:00
gbanyan	5571076406	feat: Add curated expert occupations with local data sources ... - Add curated occupations seed files (210 entries in zh/en) with specific domains - Add DBpedia occupations data (2164 entries) for external source option - Refactor expert_source_service to read from local JSON files - Improve keyword generation prompts to leverage expert domain context - Add architecture analysis documentation (ARCHITECTURE_ANALYSIS.md) - Fix expert source selection bug (proper handling of empty custom_experts) - Update frontend to support curated/dbpedia/wikidata expert sources Key changes: - backend/app/data/: Local occupation data files - backend/app/services/expert_source_service.py: Simplified local file reading - backend/app/prompts/expert_transformation_prompt.py: Better domain-aware prompts - Removed expert_cache.py (no longer needed with local files) 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>	2025-12-04 16:34:35 +08:00