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相关概念视频

Decision Making01:20

Decision Making

96
Decision-making is a fundamental cognitive process that involves evaluating alternatives and selecting among them. This process can range from simple choices, such as deciding what to wear, to complex decisions, like choosing a major in college or a career path. The complexity of the decision often dictates the approach we use, which can be broadly categorized into two types: automatic and controlled decision-making.
Automatic decision-making is fast, intuitive, and relies on gut feelings...
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Design Example: Sustainability in Concrete Building01:26

Design Example: Sustainability in Concrete Building

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As the construction industry moves towards more eco-friendly practices, concrete's adaptability and its ability to incorporate sustainable features make it a key material in the drive towards greener building solutions.
There are multiple approaches to achieve sustainability in a commercial concrete building. For instance, construct a concrete parking area under the building, utilizing pervious concrete paver blocks in open areas to facilitate rainwater collection through an underground...
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Reason and Intuition01:37

Reason and Intuition

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The human brain processes information for decision-making using one of two routes: an intuitive system and a rational system (Epstein, 1994; popularized by Kahneman, 2011 as System 1 and System 2, respectively). The intuitive system is quick, impulsive, and operates with minimal effort, relying on emotions or habits to provide cues for what to do next, while the rational system is logical, analytical, deliberate, and methodical. Research in neuropsychology suggests that the...
6.4K
Heuristics01:21

Heuristics

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Heuristics are problem-solving strategies that use mental shortcuts to simplify decision-making. Unlike algorithms, which must be followed precisely to achieve a correct result, heuristics offer a general problem-solving framework. They save time and energy but can sometimes lead to less rational decisions.
People often rely on heuristics when faced with an overload of information, limited time, low importance of the decision, limited information, or when a heuristic readily comes to mind. For...
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Stereotype Content Model02:16

Stereotype Content Model

14.0K
The Stereotype Content Model (SCM) was first proposed by Susan Fiske and her colleagues (Fiske, Cuddy, Glick & Xu, 2002; see also Fiske, 2012 and Fiske, 2017). The SCM specifies that when someone encounters a new group, they will stereotype them based on two metrics: warmth—or that group’s perceived intent, and how likely they are to provide help or inflict harm—and competence—or their ability to carry out that objective. Depending on the warmth-competence...
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Design Example: Alignment of a Road Line Using GIS01:17

Design Example: Alignment of a Road Line Using GIS

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The alignment of a road line using Geographic Information Systems (GIS) is a critical process in civil engineering, combining advanced technology with practical decision-making. This methodology begins with the collection of geospatial data, including information on land cover, geomorphology, drainage patterns, slope, and contour details. Such data is typically acquired through satellite imagery and GIS tools, offering a comprehensive understanding of the terrain.Once the data is gathered, it...
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相关实验视频

Updated: Jun 13, 2025

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy
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革命建筑:在可持续建筑项目中实施人工智能的前沿决策模型.

Ahmed Farouk Kineber1,2, Nehal Elshaboury3, Ayodeji Emmanuel Oke4

  • 1College of Project Management, Built Environment, Asset & Maintenance Management, School of Engineering and Technology, Central Queensland University, Melbourne, Australia.

Heliyon
|September 17, 2024
PubMed
概括

人工智能 (AI) 在建筑中的采用主要是由技术,进步和知识驱动的. 这些因素有助于改善建筑行业的项目完成,可持续性和安全性.

关键词:
人工智能的人工智能是人工智能.收益评估 收益评估 收益评估建筑数字化的数字化.数字化转型数字化转型健康和安全健康和安全.项目完成项目完成.可持续的建设可持续的建设.

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相关实验视频

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科学领域:

  • 建设管理建设管理.
  • 人工智能应用程序 人工智能应用程序
  • 技术采用 技术采用

背景情况:

  • 建筑行业在采用新技术方面面临着挑战.
  • 人工智能 (AI) 为提高效率和安全提供了潜在的解决方案.
  • 了解人工智能采用驱动因素对于成功实施至关重要.

研究的目的:

  • 确定影响建筑行业采用人工智能的关键驱动因素.
  • 评估这些驱动因素对人工智能实施的影响.
  • 为利益相关者提供有关有效利用人工智能的见解.

主要方法:

  • 综合文献审查以确定人工智能采用因素.
  • 对建筑行业利益相关者进行数据收集的调查.
  • 探索性因子分析和部分最小平方结构方程建模 (PLS-SEM).

主要成果:

  • 技术,进步和知识成为人工智能采用的主要驱动因素.
  • 这些因素直接解释了大约15%的人工智能采用所观察到的影响.
  • 人工智能部署显示了提高建筑健康和安全以及项目时间表的潜力.

结论:

  • 技术,进步和知识是人工智能在建筑领域采用的重要驱动力.
  • 人工智能集成可以在项目成果和安全方面取得重大改进.
  • 为决策者和利益相关者推量身定制的战略,以最大限度地利用人工智能的好处.