预测不稳定性:对艺术和设计的不稳定体验的体现观点
Claudia Muth1,2,3, Claus-Christian Carbon3,4,5
1Department of Interdisciplinary and Innovative Sciences, Hof University, 95028 Hof, Germany.
概括
预测处理 (PP) 解释了感知作为提高可预测性的一种方式. 这项研究探讨了与艺术互动如何创造语义不稳定性 (SeIns),这是一种愉快和洞察力,不同于解决问题.
科学领域:
- 认知科学 认知科学
- 神经科学是一个神经科学.
- 思想的哲学 思想的哲学
背景情况:
- 预测处理 (PP) 将感知视为通过更新内部模型或寻求新的感官输入来最大限度地减少预测错误的持续努力.
- 在PP框架内,感知和行动是内在联系在一起的,这表明感知和行动之间的动态相互作用.
- 生物通常寻求可预测性,但人类经常与有意扰乱习惯性意义制造的刺激接触,导致"语义不稳定性" (SeIns).
研究的目的:
- 通过体现和定位镜头更新对语义不稳定性 (SeIns) 的理解.
- 将艺术感知与问题解决区分开来,特别是在矛盾元素的动态整合方面.
- 探索如何体现预测处理理论可以解释参与不稳定,但有价值的,有意义的过程背后的动机.
主要方法:
- 语义不稳定性 (SeIns) 概念的理论更新.
- 通过体现预测处理的框架来分析艺术感知.
- 讨论与美学体验相关的体现认知和定位感知.
主要成果:
- 艺术感知涉及动态整合矛盾的元素,而不一定解决它们,与解决问题不同.
- 艺术参与中的语义不稳定性 (SeIns) 可以成为审美愉悦和智力兴趣的来源.
- 嵌入式预测处理为理解艺术体验中非线性,洞察力的意义创造的吸引力提供了一个框架.
结论:
- 与艺术互动培养了一种独特的创造意义的形式,其特点是矛盾的动态整合和语义不稳定性 (SeIns).
- 从艺术中获得的乐趣和洞察力源于导航SeIns的过程,而不是它的解决方案.
- 嵌入式预测处理为美学参与和其固有的奖励背后的动机和机制提供了有价值的见解.
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