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.
This commit is contained in:
Antigravity Agent
@@ -0,0 +1,184 @@
|
||||
---
|
||||
id: wiki-2026-0508-complexity-theory
|
||||
title: Complexity Theory
|
||||
category: 10_Wiki/Topics
|
||||
status: verified
|
||||
canonical_id: self
|
||||
aliases: [Complex Systems, Complexity Science]
|
||||
duplicate_of: none
|
||||
source_trust_level: A
|
||||
confidence_score: 0.85
|
||||
verification_status: applied
|
||||
tags: [complexity, systems, emergence, cynefin]
|
||||
raw_sources: []
|
||||
last_reinforced: 2026-05-10
|
||||
github_commit: pending
|
||||
tech_stack:
|
||||
language: agnostic
|
||||
framework: agnostic
|
||||
---
|
||||
|
||||
# Complexity Theory
|
||||
|
||||
## 매 한 줄
|
||||
> **"매 system 의 behavior 가 매 part 의 sum 보다 크다 — 매 emergence, nonlinearity, feedback."**. Complexity theory는 Santa Fe Institute (1984~) 가 정립한 cross-disciplinary field. Software 에서는 Cynefin framework (Snowden), Brooks 의 essential vs accidental complexity, Promise Theory, distributed systems 의 emergent behavior 로 산다. 2026년 ML systems 의 emergent capabilities 도 매 핵심 case.
|
||||
|
||||
## 매 핵심
|
||||
|
||||
### 매 complex vs complicated
|
||||
| Complicated | Complex |
|
||||
|---|---|
|
||||
| Many parts, knowable | Many parts, emergent |
|
||||
| Aircraft, watch | Ecosystem, market, brain, microservices fleet |
|
||||
| Decompose & analyze | Probe → sense → respond |
|
||||
| Predictable | Unpredictable in detail |
|
||||
|
||||
### 매 Cynefin (Snowden)
|
||||
- **Clear (Simple)**: cause→effect 자명. Best practice.
|
||||
- **Complicated**: expert analysis 필요. Good practice.
|
||||
- **Complex**: emergent, retrospective coherence. Probe → sense → respond.
|
||||
- **Chaotic**: no cause→effect. Act → sense → respond.
|
||||
- **Confusion** (Disorder): which domain unclear.
|
||||
|
||||
### 매 essential vs accidental complexity (Brooks)
|
||||
- **Essential**: 매 problem itself 의 complexity (irreducible).
|
||||
- **Accidental**: tools, languages, infra 가 만든 complexity (reducible).
|
||||
- 매 silver bullet 없음 → essential complexity 의 tackling.
|
||||
|
||||
### 매 emergent properties
|
||||
- Self-organization (ant colonies, market prices).
|
||||
- Phase transitions (water → ice, network connectivity).
|
||||
- Power laws (Zipf, scale-free networks).
|
||||
- Adaptive feedback (immune systems, ML training dynamics).
|
||||
|
||||
### 매 응용 in software
|
||||
1. Microservice fleet behavior (cascading failures, retry storms).
|
||||
2. ML emergent capabilities (in-context learning at scale).
|
||||
3. Distributed consensus (CAP, FLP impossibility).
|
||||
4. Tech debt accumulation (compound complexity).
|
||||
5. Team scaling (Brooks' law as complexity manifestation).
|
||||
|
||||
## 💻 패턴
|
||||
|
||||
### Cynefin-driven decision (in code review)
|
||||
```python
|
||||
def categorize_problem(problem):
|
||||
if known_solution(problem):
|
||||
return "Clear: apply best practice"
|
||||
if expertise_resolves(problem):
|
||||
return "Complicated: expert analysis"
|
||||
if requires_experimentation(problem):
|
||||
return "Complex: probe-sense-respond"
|
||||
if no_cause_effect(problem):
|
||||
return "Chaotic: act-sense-respond"
|
||||
return "Disorder: clarify first"
|
||||
```
|
||||
|
||||
### Probe → sense → respond (chaos engineering)
|
||||
```typescript
|
||||
// Netflix Chaos Monkey style — controlled probe of complex system
|
||||
import { ChaosClient } from '@netflix/chaos';
|
||||
|
||||
const chaos = new ChaosClient();
|
||||
await chaos.experiment({
|
||||
name: 'kill-random-pod-payment-svc',
|
||||
hypothesis: 'system handles single pod loss within 30s',
|
||||
blast_radius: 'one pod',
|
||||
rollback_on: 'p99 > 500ms',
|
||||
observe: ['error_rate', 'latency_p99', 'saturation'],
|
||||
});
|
||||
```
|
||||
|
||||
### Reduce accidental complexity — replace shell with compiled tool
|
||||
```python
|
||||
# Accidental: bash script with 5 sed/awk/jq pipes
|
||||
# Essential: extract user emails from JSON
|
||||
|
||||
# After: simple, type-checked
|
||||
import json
|
||||
from pathlib import Path
|
||||
|
||||
emails = [
|
||||
user["email"]
|
||||
for user in json.loads(Path("users.json").read_text())
|
||||
if user.get("active")
|
||||
]
|
||||
```
|
||||
|
||||
### Feedback loop modeling (system dynamics)
|
||||
```python
|
||||
# Tech debt feedback loop — simple ODE
|
||||
import numpy as np
|
||||
from scipy.integrate import odeint
|
||||
|
||||
def tech_debt(state, t, capacity, debt_growth, paydown_rate):
|
||||
debt, velocity = state
|
||||
d_debt = debt_growth - paydown_rate * velocity
|
||||
d_velocity = capacity * (1 - debt / 100) - velocity * 0.1
|
||||
return [d_debt, d_velocity]
|
||||
|
||||
# Emergent: nonlinear collapse when debt > capacity
|
||||
sol = odeint(tech_debt, [10, 5], np.linspace(0, 100, 200),
|
||||
args=(10, 2, 0.5))
|
||||
```
|
||||
|
||||
### Power-law detection (scale-free service dependency)
|
||||
```python
|
||||
import numpy as np
|
||||
import powerlaw
|
||||
|
||||
# In-degree of microservice call graph
|
||||
in_degrees = compute_in_degrees(service_graph)
|
||||
fit = powerlaw.Fit(in_degrees)
|
||||
print(f"alpha={fit.power_law.alpha:.2f}") # ~2-3 → scale-free
|
||||
# Implication: targeted attack on hubs is catastrophic
|
||||
```
|
||||
|
||||
### Promise Theory (Burgess) — autonomous agents
|
||||
```yaml
|
||||
# Each service makes promises, others assess
|
||||
service: payment-svc
|
||||
promises:
|
||||
- id: p99_latency_under_300ms
|
||||
conditions: [load < 1000rps]
|
||||
valid_until: 2026-12-31
|
||||
- id: idempotent_charge_endpoint
|
||||
conditions: []
|
||||
```
|
||||
|
||||
## 매 결정 기준
|
||||
| 상황 | Approach |
|
||||
|---|---|
|
||||
| Clear problem | Apply best practice, automate |
|
||||
| Complicated | Expert review, formal analysis |
|
||||
| Complex (emergent) | Probe with chaos engineering, observability |
|
||||
| Chaotic (incident) | Act first, stabilize, then sense |
|
||||
| Tech debt | Distinguish essential vs accidental |
|
||||
|
||||
**기본값**: Most production distributed systems 매 Complex domain 매 산다 → SLO + chaos + observability + post-incident review.
|
||||
|
||||
## 🔗 Graph
|
||||
- 부모: [[Systems Theory]] · [[Cybernetics Foundations|Cybernetics]]
|
||||
- 변형: [[Chaos Engineering]]
|
||||
- 응용: [[Distributed Systems]] · [[Microservices]] · [[SRE]]
|
||||
- Adjacent: [[Conceptual Integrity]] · [[Emergent Behavior]]
|
||||
|
||||
## 🤖 LLM 활용
|
||||
**언제**: incident retrospective, architecture decision in distributed system, tech debt classification, organizational design, ML system behavior analysis.
|
||||
**언제 X**: simple CRUD app design, single-node algorithm, bounded local logic.
|
||||
|
||||
## ❌ 안티패턴
|
||||
- **Best-practice in complex domain**: clear-domain solution 을 complex domain 에 강제.
|
||||
- **Ignoring accidental complexity**: 매 essential 처럼 취급 → tooling 의 미개선.
|
||||
- **Predicting emergent behavior**: complex system 의 detail prediction 시도 — probe 가 답.
|
||||
- **No feedback loops in design**: system dynamics 무시 → 매 surprise outage.
|
||||
|
||||
## 🧪 검증 / 중복
|
||||
- Verified (Brooks "No Silver Bullet" / Snowden Cynefin / Mitchell "Complexity: A Guided Tour" / Burgess "Thinking in Promises").
|
||||
- 신뢰도 A-.
|
||||
|
||||
## 🕓 Changelog
|
||||
| 날짜 | 변경 |
|
||||
|---|---|
|
||||
| 2026-05-08 | Phase 1 |
|
||||
| 2026-05-10 | Manual cleanup — Cynefin + Brooks essential/accidental + chaos engineering |
|
||||
Reference in New Issue
Block a user