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Representational dynamics in the domain of iterated mental paper folding

机译:迭代精神论文折​​叠领域中的表征动力学

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摘要

Successful problem solving relies on the availability of suitable mental representations of the task domain. Especially for more complex problems, there might be a wide variety of possible problem representations, and it might even be beneficial to change them during problem solving. In a first part, we argue that investigating the dynamics of understanding in terms of dynamically changing problem representations is an underexplored aspect of problem solving research, and that most classic tasks even preclude the opportunity of such dynamics to occur. Continuing this theoretical discussion, as an illustrative example of a task designed for the exploration of such representational dynamics, the second part of the paper discusses a novel, complex spatial transformation and problem solving task. In this task, one is asked to repeatedly mentally cross-fold a sheet of paper, and to predict the resulting sheet geometry without the use of external aids. Through its deliberate openness and difficulty, this task requires finding new and more efficient representations - ranging from kinaesthetic and visuospatial imagery to symbolic notions. We present an overview of the task domain and discuss various ways of representing the domain as well as potential dynamics between them. (C) 2018 Elsevier B.V. All rights reserved.
机译:成功的问题解决依赖于任务域的适当心理表示形式的可用性。尤其是对于更复杂的问题,可能存在各种各样的问题表示形式,并且在解决问题期间更改它们甚至可能是有益的。在第一部分中,我们认为,根据动态变化的问题表示来研究理解的动力是解决问题研究的未充分开发的方面,而且大多数经典任务甚至都排除了这种动力发生的机会。继续这一理论讨论,作为为探索这种表示动力学而设计的任务的说明性示例,本文的第二部分讨论了一种新颖的,复杂的空间变换和解决问题的任务。在这项任务中,要求人们在脑子里反复地对一张纸进行交叉折叠,并在不使用外部辅助工具的情况下预测所得到的纸的几何形状。由于其刻意的开放性和难度,该任务需要找到新的和更有效的表示形式-从运动美学和视觉空间图像到符号概念。我们将概述任务域,并讨论代表域的各种方式以及它们之间的潜在动态。 (C)2018 Elsevier B.V.保留所有权利。

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