Keke AI Competition: Solving puzzle levels in a dynamically changing mechanic space
This addresses the problem of AI adaptability in dynamically changing game mechanics for researchers and developers in AI and game design, but it is incremental as it builds on existing puzzle-solving competitions.
The paper tackles the challenge of creating AI agents for Baba is You, a puzzle game with dynamic rule changes, by introducing the Keke AI Competition framework and evaluation metrics, with baseline results from tree search agents.
The Keke AI Competition introduces an artificial agent competition for the game Baba is You - a Sokoban-like puzzle game where players can create rules that influence the mechanics of the game. Altering a rule can cause temporary or permanent effects for the rest of the level that could be part of the solution space. The nature of these dynamic rules and the deterministic aspect of the game creates a challenge for AI to adapt to a variety of mechanic combinations in order to solve a level. This paper describes the framework and evaluation metrics used to rank submitted agents and baseline results from sample tree search agents.