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An important concept in studying metabolism and energy is that of chemical equilibrium. Most chemical reactions are reversible. They can proceed in both directions, releasing energy into their environment in one direction, and absorbing it from the environment in the other direction. The same is true for the chemical reactions involved in cell metabolism, such as the breaking down and building up of proteins into and from individual amino acids, respectively. Reactants within a closed system...
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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.
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Intelligence is often thought to be linked to brain size, but the relationship is more complex than that. While brain size does correlate modestly with some abilities, like verbal skills, the connection is weaker for others, such as spatial reasoning. Other factors, like brain structure, also play crucial roles. For instance, despite Einstein's smaller-than-average brain, his parietal cortex, which is involved in spatial reasoning, was 15% wider, suggesting that neural density might matter...
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Cognitive psychology emerged as a significant field in the mid-20th century. It focused on understanding humans' internal mental processes. This approach emphasizes how people perceive, remember, think, and solve problems—elements critical to human cognition.
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不要担心生成性AI可能会在未来损害人类的创造力或智能:它已经有了.

Robert J Sternberg1

  • 1Department of Psychology, Cornell University, Ithaca, NY 14853, USA.

Journal of Intelligence
|July 26, 2024
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概括

技术影响人类的智力和创造力,可能会减少基本的创意技能. 虽然人工智能可以重新组合想法,但它对应全球挑战所需的新,改变范式的创新能力仍然不确定.

科学领域:

  • 认知科学 认知科学
  • 技术研究 技术研究
  • 人工智能伦理学 人工智能伦理学

背景情况:

  • 技术进步重塑了人类的认知过程,包括智力和创造力.
  • 由于计算机化,诸如计算之类的技能的重要性已经下降.
  • 对人类创造力的潜在长期影响越来越令人担忧.

研究的目的:

  • 分析技术如何影响人类的智力和创造力.
  • 评估生成AI在创新的作用.
  • 讨论应对全球挑战的影响.

主要方法:

  • 技术对认知的影响的概念分析.
  • 人与人工智能创造力的比较评估.
  • 关于人工智能能力和社会问题的文献评论.

主要成果:

  • 技术改变了某些认知技能的重要性.
  • 生成型人工智能在重组方面表现出色,但缺乏创新的想法产生.
  • 当前的人工智能可能无法产生全球问题所需的转变范式的想法.

结论:

关键词:
创造力 创造力 创造力生成型的人工智能情报 情报 情报 的情报 情报 的情报.自我意识的自我意识.智慧的智慧智慧的智慧的智慧的智慧

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  • 由于技术导致人类创造能力的下降可能是有害的.
  • 生成型人工智能的复制性限制了其对变革性创新的潜力.
  • 需要对人工智能在解决复杂全球问题的作用进行进一步的研究.