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Mind Games: Game Engines as an Architecture for Intuitive Physics
Trends in Cognitive Sciences ( IF 19.9 ) Pub Date : 2017-09-01 , DOI: 10.1016/j.tics.2017.05.012
Tomer D. Ullman , Elizabeth Spelke , Peter Battaglia , Joshua B. Tenenbaum

We explore the hypothesis that many intuitive physical inferences are based on a mental physics engine that is analogous in many ways to the machine physics engines used in building interactive video games. We describe the key features of game physics engines and their parallels in human mental representation, focusing especially on the intuitive physics of young infants where the hypothesis helps to unify many classic and otherwise puzzling phenomena, and may provide the basis for a computational account of how the physical knowledge of infants develops. This hypothesis also explains several 'physics illusions', and helps to inform the development of artificial intelligence (AI) systems with more human-like common sense.

中文翻译:

智力游戏:作为直观物理架构的游戏引擎

我们探索了一个假设,即许多直观的物理推理都基于心理物理引擎,该引擎在许多方面类似于用于构建交互式视频游戏的机器物理引擎。我们描述了游戏物理引擎的关键特征及其在人类心理表征中的相似之处,特别关注幼儿的直觉物理学,其中的假设有助于统一许多经典的和其他令人费解的现象,并可能为计算解释如何提供基础婴儿的物理知识得到发展。这一假设还解释了几种“物理错觉”,并有助于为人工智能 (AI) 系统的发展提供更像人类的常识。
更新日期:2017-09-01
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