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相关概念视频

Associative Learning01:27

Associative Learning

243
Associative learning is a fundamental concept in behavioral psychology, wherein a connection is established between two stimuli or events, leading to a learned response. This process is critical in understanding how behaviors are acquired and modified. Conditioning, the mechanism through which associations are formed, can be divided into two main types: classical conditioning and operant conditioning, each elucidating different aspects of associative learning.
Classical conditioning, also known...
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Observational Learning01:12

Observational Learning

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Albert Bandura's observational learning, also known as imitation or modeling, occurs when a person observes and imitates another's behavior. It is a quicker process than operant conditioning. A well-known example is the Bobo doll study, where children who saw an adult acting aggressively towards the doll were more likely to act aggressively when left alone, compared to those who observed a nonaggressive adult. Many psychologists view observational learning as a form of latent learning...
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The Quantum-Mechanical Model of an Atom02:45

The Quantum-Mechanical Model of an Atom

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Shortly after de Broglie published his ideas that the electron in a hydrogen atom could be better thought of as being a circular standing wave instead of a particle moving in quantized circular orbits, Erwin Schrödinger extended de Broglie’s work by deriving what is now known as the Schrödinger equation. When Schrödinger applied his equation to hydrogen-like atoms, he was able to reproduce Bohr’s expression for the energy and, thus, the Rydberg formula governing...
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Cognitive Learning01:21

Cognitive Learning

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Cognitive learning is based on purposive behavior, incidental learning, and insight learning.
E. C. Tolman's theory of purposive behavior emphasizes that much behavior is goal-directed. He argued that to understand behavior, we must look at the entire sequence of actions leading to a goal. For instance, high school students study hard, not just due to past reinforcement but also to achieve the goal of getting into a good college.
Tolman introduced the idea that behavior is influenced by...
96
Introduction to Learning01:18

Introduction to Learning

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Learning is the process of acquiring knowledge or skills through practice or experience, leading to long-lasting behavioral changes. This acquisition occurs through interaction with the environment and requires practice or experience. For instance, mastering a skill such as surfing requires considerable practice and experience, highlighting the essential role of repeated interactions with the environment in learning.
In contrast to learned behaviors, unlearned behaviors such as crying, sexual...
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First Law: Particles in Two-dimensional Equilibrium01:18

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Recall that a particle in equilibrium is one for which the external forces are balanced. Static equilibrium involves objects at rest, and dynamic equilibrium involves objects in motion without acceleration; but it is important to remember that these conditions are relative. For instance, an object may be at rest when viewed from one frame of reference, but that same object would appear to be in motion when viewed by someone moving at a constant velocity.
Newton's first law tells us about...
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Updated: May 12, 2025

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
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迈向量子联合学习 量子联合学习

Chao Ren, Rudai Yan, Huihui Zhu

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    此摘要是机器生成的。

    量子联合学习 (QFL) 结合了量子计算和联合学习,以提高数据隐私和效率. 本综述提供了QFL原则,技术和应用的全面指南.

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    科学领域:

    • 融合量子计算 (QC) 和联合学习 (FL) 的跨学科领域.

    背景情况:

    • 现有的研究缺乏对量子联合学习 (QFL) 的全面调查.
    • QFL旨在通过量子技术提高机器学习的隐私,安全和效率.

    研究的目的:

    • 提供QFL的整体检查和全面理解.
    • 确定QFL的挑战,机遇和未来的研究方向.

    主要方法:

    • 对量子联合学习当前研究的回顾.
    • 基于特征和使用的量子方法,为QFL技术提出一个独特的分类法.

    主要成果:

    • 讨论QFL的原则,技术和新兴应用.
    • 识别整合QC和FL的挑战和机会.

    结论:

    • QFL是一个快速发展的领域,有可能取得重大突破.
    • 本综述是QFL研究人员和从业人员的基本指南.