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연구논문

인공지능 시대의 북한 지역개발 방법론 구상 : 대규모 언어 모델(LLM)을 활용한 미래 시나리오 생성 실험

원문정보

Methodology of Planning for North Korean Regional Development in the Era of Artificial Intelligence : An Experimental Study on Future Scenario Generation Using Large Language Models(LLMs)

민경태

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초록

영어

This study employs Artificial Intelligence to develop experimental future scenarios for North Korean regional development. Focusing on government-proposed areas of inter-Korean economic cooperation - energy, transportation, and agriculture - the research analyzes current challenges including power supply instability, logistics inefficiency, and low agricultural productivity. The study proposes solutions utilizing Fourth Industrial Revolution technologies, such as smart grid systems with Northeast Asian connections, autonomous logistics networks, and advanced agricultural technologies. The use of Large Language Models (LLMs), with their extensive data processing capabilities, enabled generation of creative future scenarios beyond conventional research methods. Policy simulations using virtual personas demonstrated the potential for developing tailored policies considering North Korea’s characteristics. This research holds methodological significance through its experimental use of LLMs and offers valuable reference material for future inter-Korean economic cooperation policies by exploring new possibilities for North Korean regional development.

목차

Abstract
1. 서론
2. 실험적 연구의 배경 및 방향
2.1. 4차 산업혁명을 활용한 북한 지역개발의 가능성
2.2. 대규모 언어 모델(LLM) 인공지능을 활용한 미래 시나리오 구상
2.3. 남북 경제협력 대상 분야의 지역개발 시나리오 도출
3. 북한 지역개발을 위한 핵심 분야 분석
3.1. 발전・송배전 인프라와 슈퍼그리드
3.2. 항만・공항 현대화와 복합교통망
3.3. 농업 생산성 제고와 첨단 농업
4. 인공지능 기반 북한 지역개발 시나리오
4.1. 에너지 네트워크의 미래 시나리오
4.2. 교통망 인프라의 미래 시나리오
4.3. 첨단농업 발전의 미래 시나리오
5. 결론 및 정책적 시사점
참고문헌

저자정보

  • 민경태 Min, Kyung-tae. 국립통일교육원 교수

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