대한건축학회논문집 (Journal of the Architectural Institute of Korea)

대한건축학회 (Architectural Institute of Korea)
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강화학습을 이용한 인공지능 기반 공간배치 시뮬레이터 개발

AI-based Spatial Arrangement Simulator with Reinforccement Learning

  • 이상현 (명지대학교 건축대학 건축학부) ;
  • 지성운 (명지대학교 건축대학 건축학부)
  • 투고 : 2021.08.02
  • 심사 : 2021.11.08
  • 발행 : 2021.11.30
⟨ 이전 논문 다음 논문 ⟩

초록

The purpose of this study is to develop reinforcement learning-based spatial layout simulators. A spatial layout simulator means placing the unit spaces that make up the entire architectural space in the appropriate location and in the appropriate neighborhood relationship when given. In this study, we conducted 1) architectural design process analysis 2) simulator development 3) validation of simulator. As a result of architectural design process analysis, it was confirmed that the layout of the architectural interior space is essential. Simulator development includes 1) establishment of reinforcement learning environment 2) implementation of agent 3) implementation of reward system. To validate the simulator, three planar types were presented; a reward scheme was devised to guide each type; and the simulation was conducted according to the reward scheme. The simulation resulted in the desired planar type being produced by controlling the reward scheme (without having to learn the knowledge and experience of human architects). This confirms the availability of reinforcement learning-based spatial layout simulators.

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과제정보

이 성과는 정부(과학기술정보통신부)의 재원으로 한국연구재단의 지원을 받아 수행된 연구임(No. 2019R1F1A105857413).

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