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相关概念视频

Stereotype Content Model02:16

Stereotype Content Model

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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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Concepts and Prototypes01:24

Concepts and Prototypes

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The human nervous system handles vast amounts of information by translating sensory stimuli into neural impulses, which the brain processes, creating thoughts expressed through language or stored as memories. The brain also synthesizes information from emotions and memories, which significantly influence thoughts and behaviors. This intricate process creates a comprehensive mental picture.
The brain organizes this information using concepts, which are mental categories grouping linguistic data,...
184
Centroid of a Body: Problem Solving01:03

Centroid of a Body: Problem Solving

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The centroid of a body is a crucial concept in engineering and physics. Finding the centroid of a body can help determine its stability, its balance point, and even its design. In this context, consider a thin wire bent in the form of a quarter circular arc. Polar coordinates are used to calculate the centroid. The wire is first divided into small differential elements of a length equal to the radius multiplied by the differential angle.
The x-coordinates and y-coordinates of each element's...
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相关实验视频

Updated: Jul 28, 2025

Investigating Motor Skill Learning Processes with a Robotic Manipulandum
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机器人工程中的形态范式

Sascha Freyberg1, Helmut Hauser2

  • 1Max Planck Institute for the History of Science, Berlin, MPIWG, Dept. 1, Boltzmannstr. 22, 14195, Berlin, Germany.

Studies in history and philosophy of science
|June 4, 2023
PubMed
概括
此摘要是机器生成的。

机器人正在转向生物,形态范式,强调身体和环境,而不是纯粹的人工智能. 这种范式变化意味着对未来机器人系统的控制原则的更广泛的认识论转变.

关键词:
生物电子学 生物电子学嵌入式认知 嵌入式认知形态学计算的计算方法形态学 形态学 形态学导向和控制的原则.软机器人软机器人 软机器人

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Creating Objects and Object Categories for Studying Perception and Perceptual Learning

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Last Updated: Jul 28, 2025

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科学领域:

  • 机器人和人工智能 机器人和人工智能
  • 科学哲学的哲学科学哲学
  • 生物电子学 生物电子学

背景情况:

  • 机器人技术历史上专注于人工智能 (AI) 和计算效率,导致孤立和专业化的系统.
  • 这种方法往往忽视了机器人控制中物理身体,材料特性和环境相互作用的重要性.

研究的目的:

  • 在机器人学中引入和定义"形态范式".
  • 将这个新范式的原则与以往以人工智能为中心的模型的原则进行对比.
  • 探索这种范式转变的认识论意义.

主要方法:

  • 机器人模型的概念分析.
  • 历史认识论框架来追踪原则的变化.
  • 人工智能驱动机器人与形态驱动机器人的比较研究.

主要成果:

  • 机器人正在向生物学方向过渡,整合生物和进化系统的原则.
  • 形态范式强调了体现,物质,环境和相互作用的关键作用.
  • 这种转变代表了控制原则和方向的根本变化.

结论:

  • 形态范式为机器人技术提供了一个新的框架,超越纯粹的AI.
  • 这一转变对机器人的未来有着重大的认识论和潜在的政治影响.
  • 需要进一步分析,以探索这种范式转变的更广泛影响.