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相关概念视频

Cause and Effect01:53

Cause and Effect

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While variables are sometimes correlated because one does cause the other, it could also be that some other factor, a confounding variable, is actually causing the systematic movement in our variables of interest. For instance, as sales in ice cream increase, so does the overall rate of crime. Is it possible that indulging in your favorite flavor of ice cream could send you on a crime spree? Or, after committing crime do you think you might decide to treat yourself to a cone?
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Convolution Properties I01:20

Convolution Properties I

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Convolution computations can be simplified by utilizing their inherent properties.
The commutative property reveals that the input and the impulse response of an LTI (Linear Time-Invariant) system can be interchanged without affecting the output:
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Introduction to Cognitive Psychology01:20

Introduction to Cognitive Psychology

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Cognitive psychology is the field of psychology dedicated to examining how people think. It attempts to explain how and why we think the way we do by studying the interactions among human thinking, emotion, creativity, language, and problem-solving, as well as other cognitive processes. Cognitive psychology studies how information is processed and manipulated in remembering, thinking, and knowing.
This field emerged in the mid-20th century, following a period dominated by behaviorism, which...
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Law of Effect01:06

Law of Effect

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B.F. Skinner, a prominent figure in behavioral psychology, introduced operant conditioning by emphasizing the role of consequences in shaping behavior. This theory builds upon the law of effect proposed by Edward Thorndike, which posits that behaviors followed by satisfying outcomes are likely to be repeated. In contrast, those followed by unsatisfying outcomes are less likely to recur.
Edward Thorndike's foundational work involved studying learning in animals, particularly using puzzle...
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Relative Motion Analysis - Acceleration

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A slider-crank mechanism converts rotational motion from the crank into linear motion of the slider or vice versa. This mechanism consists of three main parts: the crank, the connecting rod, and the slider. The movement of the slider-crank is an example of general plane motion as the fluctuating angle between the crank and the connecting rod. Consider a segment AB where point A is at the end of the slider and point B is on the diametrically opposite end to point A, on a crack. The variance in...
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Real-World Application of Classical Conditioning01:15

Real-World Application of Classical Conditioning

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Classical conditioning not only includes the initial pairing of stimuli but also extends to more complex forms, such as higher-order conditioning. Higher-order conditioning involves creating associations beyond the primary conditioned stimulus, resulting in a chain of conditioned responses.
Higher-order, or second-order, conditioning occurs when a neutral stimulus becomes associated with an already established conditioned stimulus through repeated pairings. For instance, if a dog has been...
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相关实验视频

Updated: Jun 23, 2025

Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface
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通过对LLM解释的趋同条件来加速人机交互.

Aleksandr Raikov1, Alberto Giretti2, Massimiliano Pirani3

  • 1Jinan Institute of Supercomputing Technology, Jinan, Shandong, China.

Frontiers in artificial intelligence
|June 17, 2024
PubMed
概括

这项研究使用大语言模型 (LLM) 和可解释的人工智能 (XAI) 增强了人机交互. 一种新的融合方法加速了决策者在战略规划中的集体问题解决.

关键词:
法学士 (LLM) 是一个专业.因果循环的动态原因循环的动态认知语义学是一种认知语义学.网络学就是网络学.固有形态是属于自己的.可解释的人工智能混合现实混合现实混合现实.社会经济环境 社会经济环境

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科学领域:

  • 人工智能的人工智能
  • 认知科学 认知科学
  • 人与计算机的交互

背景情况:

  • 传统的可解释的人工智能 (XAI) 范式与大型语言模型 (LLM) 的细微差别作斗争.
  • 人机交互正在迅速发展,需要先进的AI解释能力.
  • 在AI系统中,LLM引入了复杂的认知和语义元素.

研究的目的:

  • 开发一种方法来加速人机交互,使用LLMs.
  • 通过结合认知解释,将XAI扩展到传统的逻辑框架之外.
  • 在混合人机环境中确保有目的和可持续的XAI.

主要方法:

  • 一种融合的方法,整合了反向问题解决,认知建模,遗传算法,神经网络,因果循环动力学和自身形式实现.
  • 分析LLM的可形式化不良的认知语义解释.
  • 在情境中心的集体战略规划场景中实施.

主要成果:

  • 通过LLM集成,证明了集体解决问题的趋同的加速.
  • 在数字化的人机交互中建立有目的和可持续的XAI条件.
  • 在现实世界的战略规划环境中成功应用.

结论:

  • 决策者可以利用LLM来为信息流程创造独特的结构条件.
  • 拟议的方法提高了XAI在复杂问题解决方面的有效性.
  • 这些发现支持在各种经济,科学和技术领域推进可解释的LLM.