chore(wiki): dangling 링크 canonical 정규화 (768파일/1200건)
이름만 다른(표기 변형) [[위키링크]]를 대상 문서의 canonical 제목으로 치환해 끊겼던 1,200개 링크를 연결. 제목/파일명 정규화 일치만 적용하고 별칭 매칭은 과병합 위험으로 제외(애매성 가드). 원본은 _link_reconcile_backup/ 에 백업. 도구: Datacollect/scripts/link_reconcile_apply.mjs Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
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@@ -70,7 +70,7 @@ tech_stack:
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### 매 disease modeling
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- **Parkinson's**: 매 dopamine deficit → 매 RL 의 LR ↓.
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- **Addiction**: 매 RPE 의 hijack ([[Addiction-Neuroscience]]).
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- **Addiction**: 매 RPE 의 hijack ([[Addiction Neuroscience]]).
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- **Depression**: 매 negative RPE bias.
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- **OCD**: 매 model-based 의 over-engaged.
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- **Schizophrenia**: 매 prediction error precision 의 alter.
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@@ -244,8 +244,8 @@ def calibrate_reward(expected, actual):
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- 부모: [[Reinforcement-Learning]] · [[Computational-Neuroscience-RL|Computational-Neuroscience]]
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- 변형: [[TD-Learning]] · [[Distributional-RL]] · [[Meta-RL]]
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- 응용: [[Disease-Modeling]]
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- Adjacent: [[Bayesian-Brain-Hypothesis]] · [[Biological-Intelligence]] · [[Addiction-Neuroscience]] · [[Brain-Derived Neurotrophic Factor (BDNF)]]
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- Concept: [[Reward-Prediction-Error]] · [[Dopamine]] · [[Basal-Ganglia]]
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- Adjacent: [[Bayesian-Brain-Hypothesis]] · [[Biological-Intelligence]] · [[Addiction Neuroscience]] · [[Brain-Derived Neurotrophic Factor (BDNF)]]
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- Concept: [[Reward Prediction Error]] · [[Dopamine]] · [[Basal-Ganglia]]
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## 🤖 LLM 활용
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**언제**: 매 RL algorithm design. 매 brain-inspired AI. 매 disease model. 매 reward schedule.
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@@ -261,7 +261,7 @@ def calibrate_reward(expected, actual):
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## 🧪 검증 / 중복
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- Verified (Schultz dopamine, Sutton-Barto RL book, Dabney distributional, Hafner Dreamer).
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- 신뢰도 A.
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- Related: [[Bayesian-Brain-Hypothesis]] · [[Biological-Intelligence]] · [[Addiction-Neuroscience]] · [[Brain-Derived Neurotrophic Factor (BDNF)]] · [[Reinforcement-Learning]].
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- Related: [[Bayesian-Brain-Hypothesis]] · [[Biological-Intelligence]] · [[Addiction Neuroscience]] · [[Brain-Derived Neurotrophic Factor (BDNF)]] · [[Reinforcement-Learning]].
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## 🕓 Changelog
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| 날짜 | 변경 |
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