This approach focuses on (e.g., changing water levels) and nesting (putting a key behind a lock that requires another key).

: A general-purpose search algorithm that uses heuristics to ensure accuracy and speed.

: Designers use solvers to verify that randomly generated dungeons are actually beatable. For example, Satisfiability Modulo Theories (SMT) solvers can ensure that rooms are placed legally without intersecting.

: Algorithms like Markov Decision Processes (MDP) are tested in dungeon-like environments to improve autonomous navigation for rescue operations. 4. Design Considerations for Solving Description Search Depth

The maximum number of moves or states the solver considers before stopping.