使用人工智能进行认知建模
Michael C Frank1, Noah D Goodman2
11Department of Psychology, Stanford University, Stanford, California, USA ;
Annual review of psychology
|September 12, 2025
概括
人工智能 (AI) 模型现在可以用作认知模型来理解人类的思想. 通过对人类数据进行人工智能训练并进行实验测试,我们可以更好地解释和预测人类智能.
科学领域:
- 认知科学 认知科学
- 人工智能的人工智能
- 计算神经科学是一种神经科学.
背景情况:
- 人工智能 (AI) 模型在历史上一直是认知科学中的理论工具.
- 目前的人工智能模型是刺激可计算的,处理数据类似于人类经验.
- 这种能力为了解人类思想提供了新的途径.
研究的目的:
- 探索AI模型作为理解人类智能的认知模型的潜力.
- 突出刺激可计算AI在认知科学研究中的重要性.
主要方法:
- 利用人工智能模型在人类规模的输入数据上进行训练.
- 通过严格的实验探测评估AI认知模型.
- 将AI模型的性能与人类行为和认知理论进行比较.
主要成果:
- 在人类数据上训练的AI模型可以作为有效的认知模型.
- 这些模型提供了一个强大的框架来解释和预测人类的行为.
- 演示了AI深入了解人类认知过程的能力.
结论:
- 人工智能模型代表了认知建模的重大进步.
- 使用人工智能作为认知模型可以在很大程度上为人类智能理论提供信息.
- 未来的研究应该利用人工智能来全面了解人类的思想.
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