refactor(topics): 멀티 에이전트용 지식 재편 — _Common(공통 기본기) + Domain_* 구조
에이전트 8종(대화형/프로그래머 C·S/디자이너/설계자/기획자/QA/PD/PM)에게 [공통 기본 능력 + 롤별 Specialty] 2층으로 지식을 주입하기 위한 재분류. 문서 내용·포맷은 무수정, 폴더 이동만 (6,372개 문서 수 보존 확인). - Topic_Programming → Domain_Programming (내부 구조 보존) - Topic_Graphic → Domain_Design - Topic_Business → Domain_Product - Topic_General → Domain_General - _Common 신설: Math(구 Topic_Math_Specialty), Reasoning(구 General/From_Thinking & Reasoning), Reasoning_Creativity(구 General/From_창의성), Communication(Poetic_Blog_Writing + From_writing) - 타 도메인의 From_* 폴더는 유지 (출처 표기일 뿐, 이미 도메인에 맞게 분류된 문서) - 빈 폴더 정리 (memory/procedures) - 에이전트→폴더 매핑은 workspace의 .astra/agent-knowledge-map.json (9개 에이전트) Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
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Antigravity Agent
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---
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id: wiki-2026-0508-expo-2025-osaka
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title: Expo 2025 Osaka
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category: 10_Wiki/Topics
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status: verified
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canonical_id: self
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aliases: [Expo 2025, Osaka Expo, World Expo 2025, Designing Future Society]
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duplicate_of: none
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source_trust_level: B
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confidence_score: 0.85
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verification_status: applied
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tags: [expo, osaka, 2025, future-society, technology-showcase, immersive, japan]
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raw_sources: []
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last_reinforced: 2026-05-10
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github_commit: pending
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tech_stack:
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language: Event / Showcase
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applicable_to: [Tech Display, Immersive Media, AR/VR]
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---
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# Expo 2025 Osaka
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## 매 한 줄
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> **"매 'Designing Future Society for Our Lives' 매 Yumeshima island, Osaka"**. 매 2025-04-13 ~ 10-13. 매 BIE 등록 — 매 World Expo. 매 highlight: 매 Grand Ring (largest wooden structure), 매 flying car demo, 매 immersive pavilion, 매 AI / robotics. 매 attendance ~28M.
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## 매 핵심
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### 매 basics
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- **Theme**: Designing Future Society for Our Lives.
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- **Sub-themes**: Saving Lives, Empowering Lives, Connecting Lives.
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- **Location**: Yumeshima, Osaka.
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- **Period**: 2025-04-13 to 2025-10-13.
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- **Participants**: 158 countries + 7 international orgs.
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### 매 architecture
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- **Grand Ring** (Sou Fujimoto): 매 largest wooden structure ever (2km 둘레).
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- **Pavilion**: 매 each country / sponsor.
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- **Signature pavilions** (8): 매 Japanese expert curated.
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### 매 tech showcase
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- **Flying cars** (eVTOL demo).
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- **Avatar robots**.
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- **AI translation** (real-time multi-lingual).
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- **Sustainable construction** (timber).
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- **AR / VR experiences**.
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- **IoT cashless**.
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### 매 응용 (lessons for tech)
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1. **Immersive media** design.
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2. **AR / VR** at scale.
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3. **Multilingual UX**.
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4. **Sustainable infra**.
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5. **Crowd flow** (computer vision).
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6. **Cashless / digital ID**.
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## 💻 패턴 (응용 lessons)
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### Multilingual real-time translation
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```python
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def realtime_translate(audio_stream, target_lang):
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"""매 Expo-style booth interaction."""
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transcript = whisper.transcribe(audio_stream)
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translated = translate(transcript, target_lang)
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tts = synthesize(translated, target_lang)
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return tts
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```
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### Crowd flow ML
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```python
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def predict_pavilion_wait(historical, weather, time_of_day):
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"""매 wait time prediction."""
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features = encode([historical, weather, time_of_day])
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return wait_time_model.predict(features)
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```
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### Cashless venue (digital ID)
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```typescript
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class ExpoPay {
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async pay(amount: number, vendor: string) {
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const token = await getDigitalIDToken();
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return fetch('/pay', { method: 'POST', headers: { Authorization: `Bearer ${token}` }, body: JSON.stringify({ amount, vendor }) });
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}
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}
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```
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### AR pavilion experience
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```javascript
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import { ARSession } from '@react-three/xr';
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function PavilionAR() {
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return (
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<ARSession>
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<ambientLight intensity={0.5} />
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<Scene model="pavilion-content.glb" />
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<Hotspot position={[0, 1, -2]} info="Future city design" />
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</ARSession>
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);
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}
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```
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### Sustainable timber engineering (Grand Ring)
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```python
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# 매 wood vs concrete CO2
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def co2_footprint(material, mass_kg):
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factors = {'concrete': 0.1, 'steel': 1.85, 'cross_laminated_timber': -1.0} # 매 CLT 의 carbon sink
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return mass_kg * factors[material]
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```
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### Visitor flow heatmap
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```python
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def crowd_density(camera_feed):
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"""매 head detection + heatmap."""
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heads = detect_heads(camera_feed)
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H, W = camera_feed.shape[:2]
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density = np.zeros((H, W))
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for h in heads:
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density[h.y, h.x] += 1
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return gaussian_filter(density, sigma=10)
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```
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### Real-time queue management
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```python
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def dynamic_queue(pavilion, current_wait):
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if current_wait > 90:
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suggest_alternatives(pavilion.theme)
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offer_virtual_queue()
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elif current_wait > 60:
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recommend_off_peak()
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return current_wait
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```
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### Avatar telepresence
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```python
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class TelepresenceAvatar:
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"""매 remote operator → 매 robot guide."""
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def __init__(self, robot):
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self.robot = robot
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def operate(self, operator_video, operator_audio):
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self.robot.face_display.show(operator_video)
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self.robot.speakers.play(operator_audio)
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self.robot.move(operator_command)
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```
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## 매 결정 기준 (응용)
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| 상황 | Approach |
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|---|---|
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| Tourist tech showcase | Immersive AR/VR |
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| Multilingual venue | Real-time translation |
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| Large crowd | CV flow + dynamic queue |
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| Sustainable build | Timber structural |
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| Payments | Digital ID + cashless |
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**기본값**: 매 Expo lessons → 매 immersive + multilingual + crowd-aware + sustainable.
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## 🔗 Graph
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## 🤖 LLM 활용
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**언제**: 매 large-event tech reference. 매 immersive design.
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**언제 X**: 매 deep tech detail (specific paper).
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## ❌ 안티패턴
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- **Tech for tech**: 매 visitor benefit X.
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- **Offline-only**: 매 multilingual demand miss.
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- **Static queue**: 매 frustration.
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## 🧪 검증 / 중복
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- Verified (Expo 2025 official, BIE, design news).
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- 신뢰도 B.
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## 🕓 Changelog
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| 날짜 | 변경 |
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|---|---|
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| 2026-04-20 | Auto-reinforced |
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| 2026-05-08 | Phase 1 |
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| 2026-05-10 | Manual cleanup — Expo facts + applied tech patterns |
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