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相关概念视频

Incentive Theory: Pull Theory of Motivation01:18

Incentive Theory: Pull Theory of Motivation

301
Incentive theory, or the "pull theory" of motivation, suggests that external rewards primarily drive behavior. Individuals are motivated to engage in activities when they anticipate a desirable outcome. This is why people often work hard for promotions or study intensively to achieve high grades. These incentives can be tangible, physical rewards such as money or promotions, or intangible, non-physical rewards like praise and social recognition.
The theory differentiates between...
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Entropy and the Second Law of Thermodynamics01:20

Entropy and the Second Law of Thermodynamics

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The second law of thermodynamics can be stated quantitatively using the concept of entropy. Entropy is the measure of disorder of the system.
The relation  between entropy and disorder can be illustrated with the example of the phase change of ice to water. In ice, the molecules are located at specific sites giving a solid state, whereas, in a liquid form, these molecules are much freer to move. The molecular arrangement has therefore become more randomized. Although the change in average...
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Entropy01:18

Entropy

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The first law of thermodynamics is quantitatively formulated via an equation relating the internal energy of a system, the heat exchanged by it, and the work done on it. A quantitative formulation of the second law of thermodynamics leads to defining a state function, the entropy.
When an ideal gas expands isothermally, the disorder in the gas increases. From the molecular perspective, the gas molecules have more volume to move around in.
Consider an infinitesimal step in the expansion, which...
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The Second Law of Thermodynamics01:14

The Second Law of Thermodynamics

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In the quest to identify a property that may reliably predict the spontaneity of a process, a promising candidate has been identified: entropy. Scientists refer to the measure of randomness or disorder within a system as entropy. High entropy means high disorder and low energy. To better understand entropy, think of a student’s bedroom. If no energy or work were put into it, the room would quickly become messy. It would exist in a very disordered state, one of high entropy. Energy must be...
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Drive-Reduction Theory: Push Theory of Motivation01:27

Drive-Reduction Theory: Push Theory of Motivation

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Clark Hull's drive-reduction theory, introduced in the 1940s and 1950s and often termed the "push theory" of motivation, provides a framework for understanding how biological and learned drives influence behavior. Hull suggested that motivation originates from the need to alleviate physiological tension caused by unmet biological necessities. The theory proposes that when a basic need, such as hunger or sleep, goes unfulfilled, it creates an internal imbalance. This imbalance, or...
165
Entropy Change in Reversible Processes01:10

Entropy Change in Reversible Processes

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In the Carnot engine, which achieves the maximum efficiency between two reservoirs of fixed temperatures, the total change in entropy is zero. The observation can be generalized by considering any reversible cyclic process consisting of many Carnot cycles. Thus, it can be stated that the total entropy change of any ideal reversible cycle is zero.
The statement can be further generalized to prove that entropy is a state function. Take a cyclic process between any two points on a p-V diagram.
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相关实验视频

Updated: May 10, 2025

Studying Food Reward and Motivation in Humans
12:09

Studying Food Reward and Motivation in Humans

Published on: March 19, 2014

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内在动机作为受约束的透最大化的内在动机.

Alex B Kiefer1,2

  • 1VERSES, Los Angeles, CA 90016, USA.

Entropy (Basel, Switzerland)
|April 26, 2025
PubMed
概括

这项研究将智能系统的内在动机作为受约束的最大推理. 它连接了积极的推断和赋权,为内生动机提供了一个统一的视角.

科学领域:

  • 人工智能的人工智能
  • 计算神经科学是一种神经科学.
  • 认知科学 认知科学

背景情况:

  • 内在动机驱动智能系统内在的目标寻找行为.
  • 现有的框架往往侧重于学习的奖励关联.
  • 需要一个统一的理论视角来涵盖不同的内在动机账户.

研究的目的:

  • 基于受约束的最大推理,为内在动机提供一个统一的框架.
  • 探索积极推断,赋权和内在动机之间的关系.
  • 为现有的内生动机理论提供一个补充的视角.

主要方法:

  • 积极推断和赋权原则的正式分析.
  • 这些原理与最大推理的联系.
  • 探索自由能源与赋权之间的联系.

主要成果:

  • 积极推断,赋权和相关概念被视为受约束最大推断的变化.
  • 进一步阐明了自由能源与赋权之间的正式联系.
  • 据证明,最大占用方法隐含包括一个模型证据约束.

结论:

关键词:
积极的推理推理.赋权赋权就是赋权.进入的过程中,内在动机是一种内在的动机.

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  • 约束的最大推理提供了关于内在动机的一般视角.
  • 这一框架统一了智能系统内生动机的各种方法.
  • 了解内在动机对于开发更复杂的人工智能来说至关重要.