What does this research mean for the field?

Artificial General Intelligence (AGI) is defined as an artificial system that preserves and applies learned invariants across domains while depending entirely on external agents for goals, constraints, updates, and retraining. Novelty: ClaimNovelty.NOVEL_FINDING. Consensus alignment: ConsensusAlignment.ESTABLISHES_NEW_DIRECTION.

What question did this study set out to answer?

目标是创建一个清晰且结构化的人工通用智能（AGI）定义，避免以人为中心的假设。

February 22, 2026Open Access

人工通用智能的结构性定义

Key Points

目标是创建一个清晰且结构化的人工通用智能（AGI）定义，避免以人为中心的假设。
从AGI的定义中去除了与人类相关的概念，如认知和代理。
从不依赖于类人特征的基本结构原则重新构建AGI。
将AGI定义为专注于跨多个领域保持学习到的不变量的人工系统。
建立了一个严格且最小化的AGI定义，该定义可证伪且不与特定底层载体相关联。
强调AGI需要依赖外部代理来实现其目标和更新。

Abstract

本文提供了人工通用智能的结构性定义。AGI一词常受到类比、人类投射和概念漂移的支配。这些假设阻碍了测量、治理和对齐。本文去除了与人类认知、代理和意识的继承关联，并从结构原语重新构建了该概念。AGI被定义为一种在多个领域内保持并应用学习到的不变量，同时完全依赖外部代理来提供目标、约束、更新和再训练的人工系统。该定义是最小化的、可证伪的且不依赖于底层载体。边界严格，术语封闭。

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Brian Rieckmann

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人工通用智能的结构性定义

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Abstract

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