The Signature of All Things: Children Infer Knowledge States from Static Images
The Signature of All Things: Children Infer Knowledge States from Static Images
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万物的签名：孩子们从静态图像推断知识状态
DOI：
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发表时间：
2020
期刊：
影响因子：
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通讯作者：
J. Jara
中科院分区：
文献类型：
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作者：
Madeline Pelz;L. Schulz;J. Jara
从最小的观察行动中，人类就其他人的想法，想要和感觉到的是快速，直觉的法官（Heider＆Simmel，1944年）。只有代理商可以留下痕迹。鉴于知识状态（是否根本没有搜索，但只是在玩游戏，确切地知道一个物体被隐藏在哪里，知道大概的位置，不知道它是隐藏的位置，或者起初不知道然后不知道）我们将儿童的绩效与一个将精神状态属性模型扩展到未观察到行为但必须从环境结构中推断出的情况的计算模型。由我们的模型制作。
From minimal observable action, humans make fast, intuitive judgments about what other people think, want, and feel (Heider & Simmel, 1944). Even when no agent is visible, children can infer the presence of intentional agents based on the environmental traces that only agents could leave behind (Saxe et al., 2005; Newman et al., 2010). Here we show that, beyond inferring the presence of agents, fourto six-year-olds can also determine the mental states that best explain an environmental trace. Participants (N = 35, M: 5.6 years, range:4.0− 6.8 years) saw pairs of dresser drawers with different numbers and orientations of open drawers, and they were asked to determine which static scenes was generated by an agent with a given knowledge state (whether the agent wasn’t searching at all but was just playing, knew exactly where an object was hidden, knew the approximate location, had no idea where it was hidden, or at first didn’t know and then remembered). We compare children’s performance to a computational model that extends models of mental-state attribution to consider cases where the behavior is not observed but must be inferred from the structure of the environment. We find that children’s graded pattern of responded shows quantitative similarity to the predictions made by our model.