Simulating strategy and dexterity for puzzle games

摘要: We examine the impact of strategy and dexterity on video games in which a player must use to decide between multiple moves correctly execute those moves. run simulation experiments variants two popular, interactive puzzle games: Tetris, exhibits form speed-accuracy time pressure, Puzzle Bobble, requires precise aiming. By modeling as separate components, we quantify effect each type difficulty using normalized mean score artificial intelligence agents that make human-like errors. show how these techniques can model visualize requirements well scoring systems expressive range.