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相关概念视频

Natural and Artificial Concepts01:24

Natural and Artificial Concepts

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In psychology, concepts can be divided into two categories: natural and artificial. Natural concepts are formed through direct or indirect experiences. For example, consider the concept of snow. If you live in a place with regular snowfall, such as Essex Junction, Vermont, you know snow through direct experiences. You’ve seen it fall, touched it, shoveled it, and played in it. You recognize its texture, appearance, and even its smell. In contrast, if you live on an island like Saint...
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Light enters the eye through the cornea, a transparent, dome-shaped surface covering the surface of the eyeball that helps to direct and focus incoming light. This light is then channeled toward the pupil, an adjustable opening whose size is controlled by the iris. The iris, a pigmented muscle, regulates the amount of light entering the eye by contracting or dilating the pupil, thereby ensuring optimal light levels for clear vision.
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In order to make good decisions, we use our knowledge and our reasoning. Often, this knowledge and reasoning is sound and solid. However, sometimes, we are swayed by biases or by others manipulating a situation. For example, let’s say you and three friends wanted to rent a house and had a combined target budget of $1,600. The realtor shows you only very run-down houses for $1,600 and then shows you a very nice house for $2,000. Might you ask each person to pay more in rent to get the...
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Consider a man with a mass of 70 kg seated in a chair connected to a pin support through a member BC. If the man maintains an upright position, the task is to determine the horizontal and vertical reactions of the chair on the man when the member makes a 45° angle with the horizontal. At this moment, the man has a speed of 5 m/s, increasing at a rate of 1 m/s².
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Deductive reasoning, or deduction, is the type of logic used in hypothesis-based science. In deductive reasoning, the pattern of thinking moves in the opposite direction as compared to inductive reasoning, which means that it uses a general principle or law to predict specific results. From those general principles, a scientist can deduce and predict the specific results that would be valid as long as the general principles are valid.
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相关实验视频

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具有语义一致性的视觉对话:一种基于外部知识的方法.

Shanshan Du1, Hanli Wang1

  • 1The College of Electronic and Information Engineering, Tongji University, Shanghai, China; The School of Computer Science and Technology, Tongji University, Shanghai, China; The Key Laboratory of Embedded System and Service Computing (Ministry of Education), Tongji University, Shanghai, China.

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概括
此摘要是机器生成的。

本研究引入了一种新的视觉对话模型 (SCVD+),该模型使用结构化的场景图和外部知识来提高准确性. 它解决了多式联机人工智能的偏见和知识问题,以改善人机交互.

关键词:
跨模式知识推理 跨模式知识推理多模式知识图表多模式知识图表语义的一致性语义的一致性视觉对话框中的视觉对话框.

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科学领域:

  • 人工智能的人工智能
  • 人与计算机的交互
  • 计算机视觉 计算机视觉

背景情况:

  • 视觉对话是智能人机交互的关键组成部分,面临的挑战是基于视觉上下文和对话历史的多轮式问答.
  • 现有的模型在多式模式建模中存在偏差,包括信息不对称和表示不一致,导致不完全的理解和偏见的决策.
  • 依靠外部知识引入噪音,并由于质量差和多样性有限而降低准确性.

研究的目的:

  • 提出一种由外部知识 (SCVD+) 增强的新的语义一致性视觉对话模型,以应对现有挑战.
  • 为了减轻视觉对话多式模式建模中的信息不对称性和表示不一致性.
  • 提高视觉对话系统的准确性,连贯性和推理能力.

主要方法:

  • 构建细粒度结构化的视觉和文本场景图形,以捕捉对象关系和词汇关联.
  • 整合外部的常识知识,以减少表示不一致,提高模型的可解释性.
  • 采用双层知识融合和推理策略,将大型预训练模型的隐性线索与显式场景图信息相结合.

主要成果:

  • 拟议的SCVD+模型有效地解决了信息不对称性和表示不一致性.
  • 整合外部知识和新的融合战略增强了知识和推理能力的多样性.
  • 在VisDial v0.9,VisDial v1.0和OpenVisDial 2.0数据集上的实验结果证明了该方法的有效性.

结论:

  • 通过提高语义一致性和知识集成,SCVD+模型为视觉对话系统提供了显著的进步.
  • 这种方法增强了多式联运的理解和决策,为更强大的智能人机交互铺平了道路.
  • 该研究强调了结构化的场景图和多样化的外部知识对于准确和连贯的视觉对话响应的重要性.