David Kirsh and Paul Maglio argue that in Tetris, certain cognitive and perceptual problems are more efficiently solved by performing physical actions than by mental computations alone. They distinguish between pragmatic actions, which aim to achieve a physical goal, and epistemic actions, which aim to uncover hidden or complex information. Epistemic actions are crucial for simplifying problem-solving tasks in Tetris, as they help players reduce mental load, improve accuracy, and enhance decision-making. Traditional models of action focus on pragmatic functions, but they fail to account for the epistemic role of actions in Tetris. By recognizing epistemic actions, researchers can better understand how agents use the environment to improve cognition. In Tetris, players often perform epistemic actions, such as rotating pieces to uncover hidden information, which are not purely pragmatic. These actions help players identify zoids, reduce mental effort, and improve performance. The authors present data showing that players frequently rotate pieces early to gain information, even when it may not lead to the optimal placement. This suggests that epistemic actions are essential for effective problem-solving in Tetris. The study highlights the importance of epistemic actions in cognitive processes and their role in enhancing performance in complex, fast-paced tasks.David Kirsh and Paul Maglio argue that in Tetris, certain cognitive and perceptual problems are more efficiently solved by performing physical actions than by mental computations alone. They distinguish between pragmatic actions, which aim to achieve a physical goal, and epistemic actions, which aim to uncover hidden or complex information. Epistemic actions are crucial for simplifying problem-solving tasks in Tetris, as they help players reduce mental load, improve accuracy, and enhance decision-making. Traditional models of action focus on pragmatic functions, but they fail to account for the epistemic role of actions in Tetris. By recognizing epistemic actions, researchers can better understand how agents use the environment to improve cognition. In Tetris, players often perform epistemic actions, such as rotating pieces to uncover hidden information, which are not purely pragmatic. These actions help players identify zoids, reduce mental effort, and improve performance. The authors present data showing that players frequently rotate pieces early to gain information, even when it may not lead to the optimal placement. This suggests that epistemic actions are essential for effective problem-solving in Tetris. The study highlights the importance of epistemic actions in cognitive processes and their role in enhancing performance in complex, fast-paced tasks.