Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA; Department of Psychology, Harvard University, Cambridge, MA 02138, USA.
Department of Psychology, Harvard University, Cambridge, MA 02138, USA.
Trends Cogn Sci. 2017 Sep;21(9):649-665. doi: 10.1016/j.tics.2017.05.012. Epub 2017 Jun 24.
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.
我们探讨了这样一个假设，即许多直观的物理推断是基于一种心理物理引擎，这种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对应关系，特别关注幼儿的直观物理，这个假设有助于统一许多经典且令人费解的现象，并可能为解释幼儿物理知识发展的计算方法提供基础。这个假设还解释了几种“物理错觉”，并有助于为具有更类似人类常识的人工智能 (AI) 系统的开发提供信息。
