通过探索人工智能、可持续和有弹性的大型项目的未来,提出科学的基础

E. Kassens-Noor, Kip Darcy, A. Cojocaru, Ryan Rzepecki, Sunghun Jang, Wei Jiang, Tobias Monzert, Meng Cai, Matthew Crittenden
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引用次数: 0

摘要

人工智能是基于软件的;大型项目是大型的物理基础设施。我们通过探究什么是人工智能、可持续和有弹性的大型项目,以及它们的基本理论,利用探索性研究来理解两者的融合。因此,本文的目标是定义一个人工智能的大型项目,并确定其理论。为此,我们对两个不同的主题进行了文献综述,并通过两个案例举例说明了当前人工智能和大型项目的合并。我们提出了人工智能大型项目的定义,并由此提出了一种嵌入的新理论,我们称之为科学。我们认为,科学是一个新的研究领域,探索人工智能对我们世界的影响和影响。我们将人工智能大型项目概念化为虚拟的人工智能未来,以实现我们建筑环境的可持续性。文章最后给出了人工智能大型项目的定义。将人工智能大型项目定义为用于大规模基础设施规划、设计、建设和管理的人工智能软件的协同和持久合并。提出了一个名为“科学”的新研究领域,将科学理论引入未来主义者的乌托邦和反乌托邦愿景,这些愿景在从智能城市概念到智能城市概念的渐进过渡中开始出现
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Proposing the foundations of scAInce by exploring the future of artificially intelligent, sustainable, and resilient megaprojects
Abstract Artificial intelligence is software based; megaprojects are large physical infrastructures. We use exploratory research in understanding the merger of both by asking what artificially intelligent, sustainable, and resilient megaprojects are and what their underlying theory is. Thus, the goal of the paper is to define an artificially intelligent megaproject and identify its theory. To do so, we conducted a literature review on the two different topics and exemplified current mergers of AI and megaprojects through two cases. We propose a definition for artificially intelligent megaprojects and suggest consequentially an embedded new theory we call scAInce. We suggest that scAInce is a new research field, that explores the influences and impacts of artificial intelligence on our world. We conceptualize how AI megaprojects as virtual AI futures might enable sustainability in our built environment. It ends with contributing a definition of what artificially intelligent megaprojects are. HIGHLIGHTS Defines AI megaprojects as a synergistic and enduring merger of AI software for large-scale infrastructure planning, design, construction, and management Suggests a new research field called scAInce Introduces the theory of scAInce as utopian and dystopian visions of futurists that are starting to emerge in the incremental transition from smart to the intelligent city concept
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