A Game Map Complexity Measure Based on Hamming Distance

With the booming of PC game market, an increasing number of researches focus on Game AI. The interesting and difficulty of a game are relative with the map used in game scenario. Besides, the pathfinding efficiency in a game is also impacted by the complexity of the used map. In this paper, a novel complexity measure based on Hamming distance, the Hamming complexity, is introduced. This measure is able to estimate the complexity of binary tileworld. We experimentally demonstrated that Hamming complexity is highly relative with the A(star) algorithm efficiency. And it is a useful reference to the designer when developing a game map.