混合模拟和抽象用于物理推理
Felix A Sosa1, Samuel J Gershman2, Tomer D Ullman1
1Department of Psychology, Harvard University, 52 Oxford St, Cambridge MA 02138, USA; Center for Brains, Minds, and Machines, MIT, 43 Vassar St, Cambridge 02139, USA.
Cognition
|November 5, 2024
概括
人们使用灵活的心理物理引擎,将模拟与有效的抽象结合起来,如线性路径投影. 这允许快速理解物理事件,但在应用抽象时可能导致系统错误.
科学领域:
- 认知科学 认知科学
- 心理学 心理学 心理学
- 物理 物理学 物理
背景情况:
- 了解日常的物理事件依赖于认知过程.
- 存在两个主要假设:概率模拟与基于特征的抽象.
- 缺乏整合这些推理模式的统一模型.
研究的目的:
- 开发和测试物理推理的混合模型.
- 研究模拟和抽象是如何结合在一起的.
- 预测和识别物理判断中的系统错误.
主要方法:
- 开发了一个混合模型,将模拟和视觉空间抽象 (线性路径投影) 结合起来.
- 进行了两项实验,参与者判断掉落的球的轨迹.
- 测量响应时间和分析判断准确性.
主要成果:
- 当直线路径不可用时,响应时间更长,这与纯粹的模拟相矛盾.
- 参与者犯了与线性路径投影一致的错误,表明使用抽象.
- 有证据支持对高效抽象的自适应性调用.
结论:
- 人类的物理推理是灵活的,利用心理物理引擎.
- 认知过程适应性地使用有效的抽象,当有益时.
- 混合模型解释了模拟和抽象在物理判断中如何相互作用.
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