머신러닝을 처음 만든 사람은 누구일까? (최재운)
https://brunch.co.kr/@plutoun/179
컴퓨터에게 논리를 가르치자, 심볼릭AI의 등장 (최재운)
https://brunch.co.kr/@plutoun/181
인공 신경망의 시작, 맥컬럭과 피츠 (최재운)
https://brunch.co.kr/@plutoun/187
Neuro-Symbolic A.I. 는 인공지능의 미래다
https://blog.naver.com/joymychoy/222318354002
Symbolic AI vs Machine Learning in Natural Language Processing
https://www.inbenta.com/articles/symbolic-ai-vs-machine-learning-in-natural-language-processing/
Symbolic Execution과 Concrete Execution의 차이를 모르겠습니다.
https://kldp.org/node/116648
PAL: Program-aided Language Models
https://arxiv.org/abs/2211.10435
Symbolic execution (심볼릭 실행)
https://wide-shallow.tistory.com/4
Symbolic execution (심볼릭 실행)은 무엇인가?
https://blog.naver.com/suresofttech/222272849897
Symbolic execution
https://en.wikipedia.org/wiki/Symbolic_execution
기호 실행 원리(Principles of Symbolic Execution)
https://rond-o.tistory.com/311
[논문리뷰] Symbolic Execution for Software Testing: Three Decades Later
https://www.postype.com/@cpuu/post/15979710
LLM과 기호
https://medium.com/@simple0314/llm%EA%B3%BC-%EA%B8%B0%ED%98%B8-c7caf48143dd
논문 정리: LLM기반 Table Parsing
http://delosycho.co.kr/?p=167
Symbolic Execution을 통한 Code Coverage의 향상
https://koreascience.kr/article/CFKO201735553776620.pdf
[toAGI①]넥스트 딥러닝 패러다임, 얀 르쿤 vs. 게리 마커스
[toAGI②]신경망 딥러닝 한계와 상징추론 ‘심볼릭 AI’
Symbolic AI vs. Neuro AI
[KAIST 인공지능연구원 세미나] Symbolic reasoning in the era of deep learning_KAIST 전산학부 양홍석 교수
https://www.youtube.com/watch?v=--q8_s_xutk
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