制造能与人共同学习和思考的机器

IF 21.4 1区 心理学 Q1 MULTIDISCIPLINARY SCIENCES
Katherine M. Collins, Ilia Sucholutsky, Umang Bhatt, Kartik Chandra, Lionel Wong, Mina Lee, Cedegao E. Zhang, Tan Zhi-Xuan, Mark Ho, Vikash Mansinghka, Adrian Weller, Joshua B. Tenenbaum, Thomas L. Griffiths
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引用次数: 0

摘要

我们想从机器智能中得到什么?我们设想的机器不仅是思考的工具,还是思考的伙伴:合理、有洞察力、知识渊博、可靠和值得信赖的系统,与我们一起思考。目前的人工智能系统在某些时候满足了其中的一些标准。在本《视角》中,我们将展示如何利用协作认知科学来设计真正可称为 "思想伙伴 "的系统,即满足我们的期望并补充我们的局限性的系统。我们列出了人类和人工智能思维伙伴可以参与的几种协作思维模式,并提出了与人类兼容的思维伙伴的必要条件。我们借鉴了计算认知科学的主题,通过贝叶斯视角,提出了设计思维伙伴和使用思维伙伴生态系统的另一种扩展路径,即我们构建的思维伙伴可以积极构建人类和世界的模型并进行推理。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Building machines that learn and think with people

Building machines that learn and think with people

Building machines that learn and think with people
What do we want from machine intelligence? We envision machines that are not just tools for thought but partners in thought: reasonable, insightful, knowledgeable, reliable and trustworthy systems that think with us. Current artificial intelligence systems satisfy some of these criteria, some of the time. In this Perspective, we show how the science of collaborative cognition can be put to work to engineer systems that really can be called ‘thought partners’, systems built to meet our expectations and complement our limitations. We lay out several modes of collaborative thought in which humans and artificial intelligence thought partners can engage, and we propose desiderata for human-compatible thought partnerships. Drawing on motifs from computational cognitive science, we motivate an alternative scaling path for the design of thought partners and ecosystems around their use through a Bayesian lens, whereby the partners we construct actively build and reason over models of the human and world. In this Perspective, the authors advance a view for the science of collaborative cognition to engineer systems that can be considered thought partners, systems built to meet our expectations and complement our limitations.
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来源期刊
Nature Human Behaviour
Nature Human Behaviour Psychology-Social Psychology
CiteScore
36.80
自引率
1.00%
发文量
227
期刊介绍: Nature Human Behaviour is a journal that focuses on publishing research of outstanding significance into any aspect of human behavior.The research can cover various areas such as psychological, biological, and social bases of human behavior.It also includes the study of origins, development, and disorders related to human behavior.The primary aim of the journal is to increase the visibility of research in the field and enhance its societal reach and impact.
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