This study structurally analyzes the algorithmic filtering process by which generative AI images are either selected or discarded before reaching users, and models this process through a visual similarity–based simulation. Images generated by Stable Diffusion are placed on a two-dimensional grid, and a modified version of Conway’s Game of Life algorithm is applied to update the state of each cell. The survival of each cell is determined based on a hybrid visual similarity metric combining CLIP and LPIPS. To prevent the rigidity of the simulation and sustain emergent dynamics, random image injections are periodically introduced. The simulation results reveal that visually similar images repeatedly form clusters, and a visual order gradually converges toward a structurally stabilized state. This suggests that specific visual orders can emerge solely from algorithmic selection criteria, independent of human interpretation. By shifting focus from semantic or symbolic analysis to the experimental conditions for the existence and persistence of images, this study proposes a new analytical perspective for understanding digital image environments.
목차
ABSTRACT 1. Introduction 2. Theoretical Background 2.1 Overproduction of Generative Images and the Digital Ecosystem 2.2 Selection Mechanisms and Non-Human Filtering Structures 2.3 Cellular Automata and Theories of Self-Organization 2.4 Visual Similarity-Based Filtering Techniques 2.5 The Concept of an Experimentable Visual Structure 3. Research Methodology 3.1 Research Overview and a Cellular Automata-Based Approach 3.2 Preparation of Generative AI Images 3.3 Algorithmic Selection Mechanism and Visual Similarity 3.4 Overall Simulation Structure 3.5 System Implementation and Execution Environment 3.6 Significance of the Methodological Approach 4. Simulation Results and Analysis 4.1 Simulation Setup and Iterative Experiment Design 4.2 Change in Survival Rate and Convergence of Visual Similarity 4.3 Formation of Visual Clusters and Spatial Reconfiguration 4.4 Repetition of Visual Order and Structural Convergence 4.5 Visual Interpretation of Self-Organizing Structures 5. Conclusion Acknowledgement 참고문헌
키워드
Generative AI ImagesCellular AutomataVisual SimilarityAlgorithmic SelectionImage Ecosystem
저자
Jung-Bin Lee [ Department of Technology Art, GSAIM, Chung-Ang University, Art Center, Seoul 06974, Korea ]
Jin-Wan Park [ Department of Technology Art, GSAIM, Chung-Ang University, Art Center, Seoul 06974, Korea ]
Corresponding Author
1. 게임산업을 활성화 하고,
2. 게임기술과 기술 인력을 양산할 수 있도록 교육기관의 교과과정을 개발하고,
3. 관련기술에 대한 연구발표회, 강연회, 강습회 등을 개최하며,
4. 학회지, 논문지 및 관련 문헌을 발간하고,
5. 게임 기술 개발을 위한 국제화, 표준화 등을 지원하고,
6. 산.학.연.관이 협동할 수 있는 국제적 학술교류 및 협력을 지원하고,
7. 회원 상호간의 공동 이익과 친목을 증진시킨다.
간행물
간행물명
컴퓨터게임및콘텐츠논문지(구 한국컴퓨터게임학회논문지) [Journal of Computer Games and Contents]
간기
월간
pISSN
3091-7409
eISSN
3092-3638
수록기간
2002~2026
등재여부
KCI 등재
십진분류
KDC 691DDC 793
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