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The maze, a classic architectural type of post-functional nature, is reinvented through the contemporary lens of video game. With novel analytical insights and computing methodologies on the system-unit relationship of a maze, we design and develop a Moving Maze that moves its parts methodically in response to the player’s movement. A disorienting and adaptive system composed of identical parts, the Moving Maze is deconstructed into the non-subdivisible unit, which can propagate into a field through replication and orthogonal rotation. The game generates unit-to-system interactive outcomes with fragmental movements using gamer-relational rules. In achieving difficulty progression and game balance through Reinforcement Learning, the maze arouses problem-solving curiosity and immerses the player in a risk-reward structure. Centering the game mechanics on interactivity and adaptability, we enhance player engagement in this cognitive puzzle game through balanced player and environment agency. An artwork synthesizing procedural computation with gaming architecture, the Moving Maze pushes the imaginative boundary of what a maze can be and embodies the philosophy that systemic complexities arise from the simplest elements.

Moving Architecture, Animated Maze: The Intertextuality Between Player and Environment Agents