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相关概念视频

Deductive Reasoning01:16

Deductive Reasoning

55.5K
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...
55.5K
Inductive Reasoning00:59

Inductive Reasoning

60.6K
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...
60.6K
Reasoning01:30

Reasoning

102
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,...
102
Language and Cognition01:27

Language and Cognition

375
Language serves as a bridge between ideas and communication, influencing how individuals perceive and interact with the world. Psychologists have long debated whether language shapes thought or vice versa. This discussion gained grip with Edward Sapir and Benjamin Lee Whorf in the 1940s, who proposed that language determines thought, a concept known as linguistic determinism. They suggested that the vocabulary and structure of a language influence how its speakers think and perceive reality.
375
Higher Mental Functions of the Brain: Language01:10

Higher Mental Functions of the Brain: Language

917
Language is a system of communication that allows the expression of thoughts, ideas, and feelings. The brain processes language in both hemispheres.
Language formation and comprehension take place in the dominant hemisphere. The dominant hemisphere is responsible for understanding the meaning of spoken, written, or sign language, as well as the ability to communicate. For most people, the left hemisphere is the dominant one. The right hemisphere, then, gives tone and emotional context to the...
917
Concepts and Prototypes01:24

Concepts and Prototypes

179
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,...
179

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相关实验视频

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Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
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在大型语言模型中出现的模拟推理.

Taylor Webb1, Keith J Holyoak2, Hongjing Lu2,3

  • 1Department of Psychology, University of California, Los Angeles, CA, USA. taylor.w.webb@gmail.com.

Nature human behaviour
|July 31, 2023
PubMed
概括

像GPT-3这样的大型语言模型展示了新兴的模拟推理,在没有特殊培训的情况下与人类在新问题上的表现相匹配. 这表明,如果有足够的数据,人工智能可能会产生高级认知能力.

科学领域:

  • 认知科学 认知科学
  • 人工智能的人工智能
  • 计算语言学 计算语言学

背景情况:

  • 大型语言模型 (LLM) 中类似人类认知能力的出现是持续辩论的主题.
  • 零射击推理,即在没有直接培训的情况下解决新问题的能力,是关键的兴趣领域.
  • 类似推理是人类解决问题和理解新情况的基础.

研究的目的:

  • 直接比较人类的模拟推理能力和特定的大型语言模型 (GPT-3).
  • 调查法学士的抽象模式诱导和零射击问题解决能力.
  • 评估LLM是否表现出与人类类比推理相似的新兴认知能力.

主要方法:

  • 一项涉及人类参与者和文本-达芬奇-003变体的生成预训练变压器 (GPT) -3的比较研究.
  • 使用了一系列模拟推理任务,包括一个非视觉矩阵推理任务,反映了雷文的标准渐进矩阵.
  • 在需要抽象模式诱导的零射击任务上评估性能.

主要成果:

  • 在模拟任务中,GPT-3表现出强大的抽象模式诱导能力.
  • 在大多数测试场景中,GPT-3的性能与人类的能力相匹配或超过.
  • 预先对GPT-4的评估表明,在模拟推理方面,它的性能甚至更好.

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Defining the Role Of Language in Infants' Object Categorization with Eye-tracking Paradigms
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Defining the Role Of Language in Infants' Object Categorization with Eye-tracking Paradigms
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结论:

  • 大型语言模型,以GPT-3为例,具有对零射击模拟推理的新兴能力.
  • 这些发现表明,LLM可以获得复杂的解决问题的技能,而不需要明确的特定任务培训.
  • 该研究强调了人工智能开发通用推理能力的潜力.