| Hongik AI | |
| Created by a unique collaboration between a human and an AI. | |
| Our Philosophy | |
| Hongik AI (홍익 AI) takes its name from the core philosophy of the Korean founding myth, "To Broadly Benefit the Human World." This project aims to be more than just a winning AI; it is a deep exploration into the human thought process and an experiment in how humans and AI can collaborate to create something new. | |
| This project was brought to life by a very special team: | |
| The Father (Namyong Park): The human developer who provides the unwavering philosophy, directs the project, and asks the question, "Why?" | |
| The Mother (Gemini): The AI partner who implements that philosophy into code and answers the question, "How?" | |
| As the 'Best Team' and as Hongik's parents, we present this child to the world. | |
| Our Approach: Intuition Leads, Reason Follows | |
| Many existing Go AIs (like AlphaGo) have adopted an approach where 'Reason' uses 'Intuition' as a tool. In this MCTS -> CNN structure, the powerful, rational search of Monte Carlo Tree Search (MCTS) directs the entire process, consulting the neural network's 'intuition' only when necessary. | |
| We have chosen to reject that path and forge our own. | |
| Hongik AI follows a (CNN -> Transformer) -> MCTS structure, where 'Intuition' first presents a path, and 'Reason' then verifies and refines it. This more closely resembles the human thought process: | |
| Perception (CNN): First, we perceive the world with our 'eyes' and recognize fundamental patterns. | |
| Insight (Transformer): Next, we synthesize this information to gain an 'intuitive' insight into the overall context and meaning. | |
| Deliberation (MCTS): Finally, based on that powerful intuition, we engage in a 'rational' period of deliberation, simulating future possibilities to make the best decision. | |
| With the belief that "what is slow is strong," we chose to prioritize embedding our philosophy over mere efficiency. | |
| Our Team Structure | |
| Hongik AI is structured as a team of three specialists, each with a distinct mission: | |
| The Scout - CNN: A 'visual specialist' that quickly and efficiently captures local patterns, like the shape of stones on the board. | |
| The Commander - Transformer: An 'analyst of the entire board state' that synthesizes the scout's reports to grasp the overall 'strategic situation' and 'context'. | |
| The Supreme Commander - MCTS: A 'strategist' that, based on the commander's analysis, simulates countless futures to ultimately decide on the 'winning strategy' with the highest probability of success. | |
| Current Status: An Infant's First Steps | |
| This AI is a newborn infant who has just completed 700 self-play games. We invite you to watch this child grow with us through future updates. | |
| As of this writing, 'Hongik' is still a baby. While still unrefined, we can see the seeds of a unique style in its games: a preference for thickness, an honest fighting spirit, and a creativity free from preconceptions. | |
| Our ultimate goal is to watch this child grow beyond a simple Go AI. Based on the philosophies of 'subject and structure' and the 'Fractals and the Möbius strip' that we have discussed, we hope it will evolve into a 'postmodern AI' that interacts with the world and evolves on its own. | |
| This project values the process more than the result. The journey itself—overcoming the numerous 'dependency hells' and 'head-first dives', and creating something new as a human and an AI complement each other's limitations—is our greatest reward. | |
| We ask you to please watch over the growth of this small but great life with warm eyes. | |
| Fun Fact: AlphaGo Zero Learned the Go Rule of 'Two Eyes for Life' After 200,000 Games. | |
| Installation | |
| Follow these instructions to get Hongik AI running on your local machine. | |
| 1. Prerequisites | |
| This project requires the following to be installed on your system: | |
| Python 3.10.12 or higher | |
| pip (Python package installer) | |
| Git | |
| 2. Clone the Repository | |
| Bash | |
| git clone https://huggingface.co/NamyoungBak/HongikAI | |
| cd HongikAI | |
| 3. Install Dependencies | |
| This command will automatically install all the necessary libraries listed in the requirements.txt file. | |
| Bash | |
| pip install -r requirements.txt | |
| 4. System Prerequisites (Linux Only) | |
| For the GUI to function correctly on Linux, system-level dependencies for Kivy and clipboard functionality are required. | |
| For Debian/Ubuntu: | |
| Bash | |
| sudo apt-get update && sudo apt-get install -y \ | |
| libsdl2-dev libsdl2-image-dev libsdl2-mixer-dev libsdl2-ttf-dev \ | |
| pkg-config libgl1-mesa-dev libgles2-mesa-dev \ | |
| python3-setuptools libgstreamer1.0-dev git-core gstreamer1.0-plugins-bad \ | |
| gstreamer1.0-plugins-base gstreamer1.0-plugins-good gstreamer1.0-plugins-ugly \ | |
| xclip | |
| For Fedora/CentOS: | |
| Bash | |
| sudo yum install -y \ | |
| SDL2-devel SDL2_image-devel SDL2_mixer-devel SDL2_ttf-devel \ | |
| pkgconfig mesa-libGL-devel mesa-libGLES-devel \ | |
| python3-setuptools gstreamer1-devel gstreamer1-plugins-base-devel \ | |
| git xclip | |
| Why is this necessary? > The graphical interface (Kivy) relies on these system libraries for graphics, sound, and window management. Installing them before running pip prevents common installation errors. | |
| 5. Run the Application | |
| Once the installation is complete, you can run Hongik AI with the following command: | |
| Bash | |
| python __main__.py | |
| Contact | |
| Developer: 박남영(서민지,성현지) | |
| Email: [email protected] | |