Metabolic reality of cognitive load.

IF 8.2 1区心理学 Q1 BEHAVIORAL SCIENCES

Behavioral and Brain Sciences Pub Date : 2026-09-28 DOI:10.1017/S0140525X26106050

Liye Zou, Peng Wang, Jun Yin, Kim Ouwehand, Fred Paas

引用次数: 0

Abstract

Haueis and Colaço argue that metabolic constraints should prune and generate cognitive models. Cognitive load theory offers an applied framework for testing these constraints. Working memory load can be viewed as the behavioral expression of local ATP limits. Primary-secondary knowledge, embodied offloading, and instructional efficiency map onto bioenergetic trade-offs. Extending CLT to human-AI symbiosis further shows how shared systems can support dynamic load balancing and testable metabolic predictions.

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认知负荷的代谢现实。

Haueis和cola认为代谢限制应该修剪和产生认知模型。认知负荷理论为测试这些约束提供了一个应用框架。工作记忆负荷可以看作是局部ATP极限的行为表达。初级-中级知识，具体卸载和教学效率映射到生物能量的权衡。将CLT扩展到人类-人工智能共生进一步展示了共享系统如何支持动态负载平衡和可测试的代谢预测。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Behavioral and Brain Sciences 医学-行为科学

CiteScore

1.40

自引率

1.70%

发文量

353

期刊介绍： Behavioral and Brain Sciences (BBS) is a highly respected journal that employs an innovative approach called Open Peer Commentary. This format allows for the publication of noteworthy and contentious research from various fields including psychology, neuroscience, behavioral biology, and cognitive science. Each article is accompanied by 20-40 commentaries from experts across these disciplines, as well as a response from the author themselves. This unique setup creates a captivating forum for the exchange of ideas, critical analysis, and the integration of research within the behavioral and brain sciences, spanning topics from molecular neurobiology and artificial intelligence to the philosophy of the mind.