Learning by thinking in natural and artificial minds.

IF 16.7 1区 心理学 Q1 BEHAVIORAL SCIENCES
Trends in Cognitive Sciences Pub Date : 2024-11-01 Epub Date: 2024-09-18 DOI:10.1016/j.tics.2024.07.007
Tania Lombrozo
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引用次数: 0

Abstract

Canonical cases of learning involve novel observations external to the mind, but learning can also occur through mental processes such as explaining to oneself, mental simulation, analogical comparison, and reasoning. Recent advances in artificial intelligence (AI) reveal that such learning is not restricted to human minds: artificial minds can also self-correct and arrive at new conclusions by engaging in processes of 'learning by thinking' (LbT). How can elements already in the mind generate new knowledge? This article aims to resolve this paradox, and in so doing highlights an important feature of natural and artificial minds - to navigate uncertain environments with variable goals, minds with limited resources must construct knowledge representations 'on demand'. LbT supports this construction.

通过自然思维和人工思维学习。
典型的学习案例涉及思维外部的新观察,但学习也可以通过自我解释、思维模拟、类比比较和推理等思维过程进行。人工智能(AI)的最新进展表明,这种学习并不局限于人类思维:人工思维也可以通过参与 "思考学习"(LbT)过程进行自我修正并得出新结论。头脑中已有的元素如何产生新知识?本文旨在解决这一矛盾,并在此过程中强调自然思维和人工思维的一个重要特征--为了驾驭目标多变的不确定环境,资源有限的思维必须 "按需 "构建知识表征。生命条形码支持这种构建。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Trends in Cognitive Sciences
Trends in Cognitive Sciences 医学-行为科学
CiteScore
27.90
自引率
1.50%
发文量
156
审稿时长
6-12 weeks
期刊介绍: Essential reading for those working directly in the cognitive sciences or in related specialist areas, Trends in Cognitive Sciences provides an instant overview of current thinking for scientists, students and teachers who want to keep up with the latest developments in the cognitive sciences. The journal brings together research in psychology, artificial intelligence, linguistics, philosophy, computer science and neuroscience. Trends in Cognitive Sciences provides a platform for the interaction of these disciplines and the evolution of cognitive science as an independent field of study.
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