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相关概念视频

The Representativeness Heuristic02:13

The Representativeness Heuristic

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The representative heuristic describes a biased way of thinking, in which you unintentionally stereotype someone or something. For example, you may assume that your professors spend their free time reading books and engaging in intellectual conversation, because the idea of them spending their time playing volleyball or visiting an amusement park does not fit in with your stereotypes of professors.
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Deductive Reasoning01:16

Deductive Reasoning

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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.
For example, a researcher can deduce specific predictions...
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Inductive Reasoning00:59

Inductive Reasoning

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Inductive reasoning is a form of logical thinking that uses related observations to arrive at a general conclusion. It is uncertain and operates in degrees to which the conclusions are credible. As such, inductive arguments can be weak or strong, rather than valid or invalid, and conclusions can be used to formulate testable, falsifiable hypotheses.
Inductive reasoning is common in descriptive science. A life scientist makes observations and records them. This data can be qualitative or...
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Reason and Intuition01:37

Reason and Intuition

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The human brain processes information for decision-making using one of two routes: an intuitive system and a rational system (Epstein, 1994; popularized by Kahneman, 2011 as System 1 and System 2, respectively). The intuitive system is quick, impulsive, and operates with minimal effort, relying on emotions or habits to provide cues for what to do next, while the rational system is logical, analytical, deliberate, and methodical. Research in neuropsychology suggests that the...
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Reasoning01:30

Reasoning

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Reasoning is the action of thinking about something in a logical, sensible way. It is integral to problem-solving, decision-making, and critical thinking. Reasoning can be inductive or deductive. Reasoning involves transforming information into conclusions, which is essential for problem-solving, decision-making, and critical thinking.
Inductive reasoning involves deriving generalizations from specific observations. This type of reasoning helps form beliefs about the world. For example,...
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Revisionist Views of Adolescent and Adult Cognition

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A revisionist approach to Jean Piaget's theory of cognitive development has brought new insights that challenge and reinterpret his established ideas. Piaget proposed that the formal operational stage, emerging in adolescence, represents the culmination of cognitive maturity. During this stage, individuals are said to develop abstract thinking, engage in systematic problem-solving, and show a form of egocentrism, believing others are as preoccupied with their behavior as they are...
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Introduction to 'Cognitive artificial intelligence'.

Philosophical transactions. Series A, Mathematical, physical, and engineering sciences·2023
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代表性的变化是推理的组成部分.

Alan Bundy1, Xue Li1

  • 1School of Informatics, University of Edinburgh, Edinburgh, UK.

Philosophical transactions. Series A, Mathematical, physical, and engineering sciences
|June 4, 2023
PubMed
概括

人类的推理往往会改变现有的知识表示,而不仅仅是添加新的信息. 本研究介绍了ABC系统,用于自动化认知人工智能中的表示变化.

科学领域:

  • 认知科学 认知科学
  • 人工智能的人工智能
  • 科学哲学的科学哲学

背景情况:

  • 推理涉及从现有的表征中获得新的知识.
  • 知识的表现在推理过程中演变,而不仅仅是通过加法.
  • 在AI和认知科学中,推理对知识表示的影响一直被忽视.

研究的目的:

  • 突出代表性变化的意义,作为推理的副作用.
  • 分析Imre Lakatos关于数学方法演变的研究作为一个案例研究.
  • 引入和验证用于自动化表示变化的计算系统.

主要方法:

  • 分析Imre Lakatos理性重建的数学方法的分析.
  • 绑架,信念修订和概念变化 (ABC) 理论修复系统的描述.
  • 展示ABC系统在自动化表示变更方面的能力.

主要成果:

  • 人类的推理经常修改现有的知识表示.
  • 该ABC系统有效地自动化了表示变化的过程.
  • 在各种应用中,ABC系统显示出修复错误的知识表示的潜力.

结论:

关键词:
绑架,绑架,绑架是一种自动理论修复自动化理论修复信念的修订 修订的信念.概念上的变化 概念上的变化改革是改革的过程.

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  • 代表性变化是推理的一个至关重要的,但未被充分研究的方面.
  • 该ABC系统提供了一个计算方法来解决AI中的表示演变.
  • 自动化表示变化对认知人工智能有广泛的影响.