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Human Intelligence-Inspired Testing for the Developmental Stages of Artificial General Intelligence: From General to Applicable
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Abstract
定义与测量通用人工智能(AGI)是人工智能领域的核心挑战。为此,本研究提出一种受人类智能启发的AGI发展阶段测试框架,涵盖从通用到应用的演进过程。该框架的核心是通用测试阶段,强调AGI需具备跨领域的基础认知能力,并通过对标人类儿童年龄的通用测试系列评估智能体的认知水平。针对大模型的测试结果表明,其当前能力与人类儿童存在显著差距。进一步,框架扩展至“通用-专项-应用”三阶段结构:专项阶段聚焦领域内自主学习和能力提升,应用阶段则关注真实环境下的泛化能力与行业适配性。此框架旨在为AGI评估提供一套系统的、受人类认知发展规律启发的标准与方法,推动其从通用能力向高阶应用智能转化,逐步融入人类社会场景。
Authors
Yujia Peng†, Xinyi He, Hongzhao Xie, Xizhi Xiao, Yuxi Wang, Song-Chun Zhu, Zhenliang Zhang†
Publication Year
2026
http://eng.bigai.ai/wp-content/uploads/sites/7/2026/10/Human-Intelligence-Inspired-Testing-for-the-Developmental-Stages-of-Artificial-General-Intelligence_-From-General-to-Applicable.pdf
Publication Venue
Journal of Psychological Science (心理科学), 2026, 49(2):271-281
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