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English(EN) A small cognitive core explains human behavior at scale

新的CORE模型利用整合的认知原理解释人类行为

研究人员开发了一个名为COntextual Retrieval and Encoding (CORE)的计算模型,该模型整合了已建立的心理学原理来解释人类行为。该模型拟合了来自137项实验的超过700万个选择,与黑箱模型相比显示出更强的预测能力,并成功重现了绝大多数已记录的行为效应。CORE模型的内部机制表现出贝叶斯学习和事件分割的特征,表明一个基础性的认知核心支撑着大部分人类决策和行为。 AI

影响 该模型在解释人类行为方面的成功可以为开发能够理解和预测人类行为的更复杂的AI系统提供信息。

排序理由 该集群包含一篇详细介绍新计算模型的论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.LG 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

新的CORE模型利用整合的认知原理解释人类行为

本文如何被排名

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11 / 100
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Tool
该集群包含一篇详细介绍新计算模型的论文。[lever_c_demoted from research: ic=1 ai=1.0]
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Topics
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完整方法见我们的编辑标准。

报道来源 [1]

  1. arXiv cs.LG TIER_1 English(EN) · Marcel Binz, Eric Schulz ·

    一个小型认知核心可大规模解释人类行为

    arXiv:2610.13603v1 Announce Type: new Abstract: Psychology has proposed many principles of cognition. Each, however, was developed in isolation, leaving their combined explanatory power unknown. We assembled a small set of established principles into one model, which we call COnt…