保留与保护方法论:胡塞尔的现象学作为一种多维设计方法

Nicolas Turchi
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摘要

尽管人类普遍倾向于将时间维度过度简化为仅仅是事件的串联,其因果链深深植根于牛顿的普遍时间,但人们承认,时间和空间代表着一个不断变化的连续体,它受到观察者的高度影响(如果不是决定的话)。胡塞尔(E. Husserl)在他的《现象学》(Phenomenology)中,提供了一个与牛顿的单向时间轴相对应的理论,在这个时间轴中,过去、现在和未来不再是事件驻留的固定条件。相反,它们是人类大脑极其复杂的人工制品,利用记忆作为主要的时间构建设备来投射存在。在这种情况下,“现在”(即永远的现在)是指所有过去的经验通过留存而积累起来,并通过“保护”机制立即成为未来预测的时刻。可以说,这种情况在设计师的形象中得到了极端的体现。应使这一活动从其与空间的限制性联系中恢复活力,转而发挥更全面的作用。由于计算工具和对学科本体论的重新质疑,建筑师最终成为一个能够通过多个维度和知识分支建立联系的人。本文最后对空间/时间导向的设计方法进行了学术研究,该方法部署了人类记忆构建过程和创新的基于时间的计算操作,为这方面的进一步学术研究提供了平台。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Retention and Protention Methodology: Edmund Husserl's Phenomenology as a Multidimensional Design Approach
Despite humans’ common tendency to oversimplify the time dimension into a mere concatenation of events following a cause-effect chain deeply rooted in Newtonian’s universal time, it is acknowledged that time and space represent an ever-changing continuum which is highly affected (if not determined) by the observer. E. Husserl, in his Phenomenology, provides a counterpart to Newton’s unidirectional timeline in which past, present and future are no more fixed terms on which events are stationing. Instead, they are extremely complicated artefacts of the human mind that deploy memory as the main time-building device to project existence. Given this scenario, present (the ever-now) is precisely the moment when all the past experiences have built up through retention and immediately become future projection by a ‘protention’ mechanism. Arguably, this condition finds its extreme realization in the figure of the designer. This should be revitalized from its constraining association to space in favour of a more comprehensive role. The Architect, owing to computational tools and an ontological re-questioning of the discipline, is ultimately becoming the one who can draw connections through several dimensions and branches of knowledge. This paper ends with an academic investigation into a space/ time-oriented design approach that deploys human memory-construction processes and innovative time-based computational operations, providing a platform for further academic research on this line.
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