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>
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experiments/assessment/frontend/tsconfig.json
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experiments/assessment/frontend/tsconfig.json
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{
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"compilerOptions": {
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"target": "ES2020",
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"useDefineForClassFields": true,
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"lib": ["ES2020", "DOM", "DOM.Iterable"],
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"module": "ESNext",
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"skipLibCheck": true,
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"moduleResolution": "bundler",
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"allowImportingTsExtensions": true,
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"isolatedModules": true,
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"moduleDetection": "force",
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"noEmit": true,
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"jsx": "react-jsx",
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"strict": true,
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"noUnusedLocals": true,
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"noUnusedParameters": true,
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"noFallthroughCasesInSwitch": true
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},
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"include": ["src"]
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}
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