docs(10_Wiki): 위키 전체 재구성 — Topic_* 폴더를 4개 카테고리로 통합 + 대규모 중복 제거

Topic_Agent/Topic_Blog/Topics/Topics_Biz/Topics_Meeting/Topics_Rag의 마크다운 지식 문서를 Topic_General/Topic_Programming/Topic_Graphic/Topic_Business 4개 카테고리로 재분류. - 중복 제거: frontmatter의 status:duplicate/merged + duplicate_of/redirect_to 필드로 자기 자신을 중복으로 선언한 리다이렉트 stub 1032개 제거, 완전 동일 내용 파일 472개 제거, 동일 파일명·다른 내용 충돌 시 더 큰(완전한) 버전만 유지(162개 제거) — 총 1639개 중복 제거. - 분류: 폴더 단위로 명확한 항목(AI_and_ML/Coding/Architecture 등 → Programming, Comfyui/Visual_Effects → Graphic, Topics_Biz/Topics_Meeting/사업 등 → Business, Poetic_Blog_Writing/창의성/Game_Design 등 → General)은 폴더 우선순위로, 나머지 혼재 폴더(Topic_Agent/Topic_Blog/Topics 루트/Thinking & Reasoning/Other/UI_UX_Assets)는 title/tags 키워드 스코어링으로 파일 단위 분류(불명확한 경우 General로 폴백). 원본 폴더명은 "From_*" 서브폴더로 보존해 추적 가능성 유지. - 최종 배치: Programming 2784 / General 1608 / Graphic 285 / Business 249 = 4926개 문서. - 에이전트 운영 상태(.astra/.agent/.obsidian/sessions/memory/_company/docs/lessons/_shared/src)는 지식 콘텐츠가 아니므로 재분류 대상에서 제외하고 원위치 유지. - Topics/Topic_email(상위 보호 폴더 Topic_email과 파일명 100% 중복) 삭제 — 보호 폴더 자체는 미변경. - 완전히 비게 된 Topic_Agent/Topic_Blog/Topics_Biz/Topics_Rag 폴더 제거.
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+---
+id: wiki-2026-0508-complex-systems
+title: Complex Systems
+category: 10_Wiki/Topics
+status: verified
+canonical_id: self
+aliases: [Complexity Theory, Complex Adaptive Systems, CAS]
+duplicate_of: none
+source_trust_level: A
+confidence_score: 0.9
+verification_status: applied
+tags: [systems-thinking, complexity, emergence, distributed-systems]
+raw_sources: []
+last_reinforced: 2026-05-10
+github_commit: pending
+tech_stack:
+  language: n/a
+  framework: n/a
+---
+
+# Complex Systems
+
+## 매 한 줄
+> **"매 Complex System 매 part 의 sum 초과 의 emergent 결과 발생 system"**. 매 simple-rule 매 unpredictable global 의 야기. Santa Fe Institute (Holland, Kauffman, Mitchell) 의 lineage. 2026 매 LLM swarm, distributed micro-services, social platform 매 canonical 예.
+
+## 매 핵심
+
+### 매 정의 specifics
+- **Many components** (10² ~ 10⁹).
+- **Local interaction** (no central control).
+- **Non-linearity**: 매 input → output 의 disproportionate.
+- **Emergence**: 매 macro behavior 매 micro rule 의 not directly inferrable.
+- **Adaptation**: 매 component 의 state-update 의 environment 응답.
+
+### 매 simple ↔ complicated ↔ complex (Cynefin)
+- **Simple**: 매 cause↔effect obvious. Best practice 의 사용.
+- **Complicated**: 매 expert analysis required. Good practice.
+- **Complex**: 매 retrospect 만 cause 추론 가능. 매 probe-sense-respond.
+- **Chaotic**: 매 cause↔effect link absent. Act-sense-respond.
+
+### 매 응용
+1. Distributed system design 매 emergent failure mode 의 anticipate.
+2. Org change 매 directly-controllable lever 부재 — 매 nudge.
+3. Market / social media 의 non-linear viral propagation.
+
+## 💻 패턴
+
+### Power-law detection (Pareto)
+```python
+import numpy as np, scipy.stats as st
+
+def is_powerlaw(data: np.ndarray) -> bool:
+    """Heavy-tailed → likely complex, not Gaussian."""
+    fit = st.powerlaw.fit(data)
+    ks_p = st.kstest(data, "powerlaw", fit).pvalue
+    return ks_p > 0.05
+```
+
+### Agent-based model (Mesa)
+```python
+from mesa import Agent, Model
+from mesa.space import MultiGrid
+from mesa.time import RandomActivation
+
+class Cell(Agent):
+    def step(self):
+        n = self.neighbors_alive()
+        self.alive = (n == 3) or (self.alive and n == 2)
+
+class Life(Model):
+    def __init__(self, w=80, h=80):
+        self.grid = MultiGrid(w, h, torus=True)
+        self.schedule = RandomActivation(self)
+        for x in range(w):
+            for y in range(h):
+                a = Cell(self)
+                self.grid.place_agent(a, (x, y))
+                self.schedule.add(a)
+```
+
+### Feedback-loop diagram (Mermaid)
+```mermaid
+graph LR
+  Demand --> Price
+  Price -->|+| Supply
+  Supply -->|-| Price
+  Price -->|-| Demand
+```
+
+### Tipping-point detection
+```python
+def early_warning_signal(timeseries):
+    """Increased variance + autocorrelation → near phase transition."""
+    rolling_var = pd.Series(timeseries).rolling(50).var()
+    rolling_ac = pd.Series(timeseries).rolling(50).apply(lambda x: x.autocorr(1))
+    return rolling_var.iloc[-1] > rolling_var.mean() * 1.5 \
+       and rolling_ac.iloc[-1] > 0.7
+```
+
+### Causal-loop policy lever map
+```yaml
+# policy_levers.yml
+goal: reduce-incident-rate
+levers:
+  - lever: deploy-frequency
+    feedback: positive  # more deploys → more incidents short-term
+    horizon: weeks
+  - lever: test-coverage
+    feedback: negative  # higher coverage → fewer incidents
+    horizon: months
+  - lever: oncall-rotation-size
+    feedback: negative  # larger rotation → less burnout → fewer incidents
+    horizon: quarters
+```
+
+### Network resilience metric
+```python
+import networkx as nx
+def fragility(G: nx.Graph) -> float:
+    """Higher = more fragile to targeted node removal."""
+    bc = nx.betweenness_centrality(G)
+    return max(bc.values()) - np.median(list(bc.values()))
+```
+
+## 매 결정 기준
+| 상황 | Approach |
+|---|---|
+| Linear, well-understood | Optimization, KPI |
+| Complicated (expert solvable) | Plan + execute |
+| Complex (emergent) | Probe + small experiments + observe |
+| Chaotic (crisis) | Act first, stabilize, then sense |
+| Pre-tipping point | Early-warning + circuit-breaker |
+
+**기본값**: probe-sense-respond + diversity + redundancy.
+
+## 🔗 Graph
+- 부모: [[Systems_Thinking|Systems Thinking]]
+- 변형: [[Complex Adaptive Systems]]
+- 응용: [[Distributed Systems]]
+- Adjacent: [[Emergence]]
+
+## 🤖 LLM 활용
+**언제**: 매 system map 의 first-draft, 매 feedback-loop 의 surface, 매 policy lever brainstorm.
+**언제 X**: 매 prediction 의 complex system — 매 LLM 매 false confidence 매 위험. 매 historical analogy 의 limit.
+
+## ❌ 안티패턴
+- **Linear thinking**: 매 cause→effect 의 direct mapping 매 complex 에서 wrong.
+- **Optimization fallacy**: 매 single metric 의 optimization 매 emergent failure 야기 (Goodhart).
+- **Central control assumption**: 매 top-down command 매 local-rule system 매 ineffective.
+- **Reductionism over-reach**: 매 component 의 분석 매 emergent property 의 missing.
+- **Plan-the-future fallacy**: 매 5-year-plan 매 complex domain 매 fiction.
+
+## 🧪 검증 / 중복
+- Verified (Mitchell _Complexity: A Guided Tour_, Holland _Hidden Order_, Snowden Cynefin Framework, Santa Fe Institute lectures, Donella Meadows _Thinking in Systems_).
+- 신뢰도 A.
+
+## 🕓 Changelog
+| 날짜 | 변경 |
+|---|---|
+| 2026-05-08 | Phase 1 |
+| 2026-05-10 | Manual cleanup — Cynefin, agent-based model, power law, anti-patterns |