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认知发展中的玩耍:从理性建构主义到预测加工

Play in Cognitive Development: From Rational Constructivism to Predictive Processing.

作者信息

Andersen Marc M, Kiverstein Julian

机构信息

Department of Culture, Cognition and Computation, Aarhus University.

Interacting Minds Centre, Aarhus University.

出版信息

Top Cogn Sci. 2024 Aug 27. doi: 10.1111/tops.12752.

Abstract

It is widely believed that play and curiosity are key ingredients as children develop models of the world. There is also an emerging consensus that children are Bayesian learners who combine their structured prior beliefs with estimations of the likelihood of new evidence to infer the most probable model of the world. An influential school of thought within developmental psychology, rational constructivism, combines these two ideas to propose that children learn intuitive theories of how the world works in part by engaging in play activities that allow them to gather new information for testing their theories. There are still, however, at least two pieces missing from rational constructivist theories of development. First, rational constructivism has so far devoted little attention to explaining why children's preferred form of learning, play, feels so fun, enjoyable, and rewarding. Rational constructivism may suggest that children are curious and like to play because reducing uncertainty and learning better theories of the causal workings of the world is enjoyable. What remains unclear, however, is why reducing uncertainty in play is interesting, fun, and joyful, while doing so in other forms of learning can be frustrating or boring. Second, rational constructivism may have overlooked how children, during play, will take control of and manipulate their environment, sometimes in an effort to create ideal niches for surprise-extraction, sometimes for developing strategies for making the world fit with their predictions. These missing elements from rational constructivism can be provided by understanding the contribution of play to development in terms of predictive processing, an influential framework in cognitive neuroscience that models many of the brain's cognitive functions as processes of model-based, probabilistic prediction.

摘要

人们普遍认为,玩耍和好奇心是儿童构建世界模型过程中的关键要素。此外,越来越多的人达成共识,即儿童是贝叶斯学习者,他们将结构化的先验信念与对新证据可能性的估计相结合,以推断出最可能的世界模型。发展心理学中有一个有影响力的思想流派,即理性建构主义,它将这两种观点结合起来,提出儿童通过参与玩耍活动来学习关于世界如何运作的直观理论,这些活动使他们能够收集新信息来检验自己的理论。然而,理性建构主义的发展理论至少还缺少两个部分。首先,理性建构主义迄今为止很少关注解释为什么儿童偏爱的学习形式——玩耍——会让人感觉如此有趣、愉悦和有回报。理性建构主义可能会认为,儿童好奇且喜欢玩耍是因为减少不确定性并更好地学习世界因果运作的理论是令人愉快的。然而,尚不清楚的是,为什么在玩耍中减少不确定性是有趣、好玩且令人快乐的,而在其他学习形式中这样做却可能令人沮丧或无聊。其次,理性建构主义可能忽略了儿童在玩耍过程中会如何控制和操纵他们的环境,有时是为了创造提取惊喜的理想环境,有时是为了制定使世界符合他们预测的策略。通过从预测加工的角度理解玩耍对发展的贡献,可以补充理性建构主义中这些缺失的要素。预测加工是认知神经科学中的一个有影响力的框架,它将大脑的许多认知功能建模为基于模型的概率预测过程。

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