arXiv:2410.03662cs.AIcs.LG2024-10被引 2
提出神经模型实现人类级系统2推理的最后障碍已极小
System 2 Reasoning Capabilities Are Nigh
- 梳理现有研究，界定系统2推理能力标准
- 指出当前模型距离人类推理仅差关键一步
- 适合关注认知建模与通用AI的科研人员
近年来，机器学习模型在多个方向上取得了接近人类推理能力的进展。本文综述了当前文献状态，描述了实现类人系统2推理的神经模型所需完成的最后步骤。我们认为，若当前模型尚不足以被认定为具备推理能力，则实现该目标所需的额外进展极为有限。
原文摘要 · Abstract (English)
In recent years, machine learning models have made strides towards human-like reasoning capabilities from several directions. In this work, we review the current state of the literature and describe the remaining steps to achieve a neural model which can perform System~2 reasoning analogous to a human. We argue that if current models are insufficient to be classed as performing reasoning, there remains very little additional progress needed to attain that goal.
系统2推理认知建模通用AI
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