心理学
人类智力
认知
认知模型
认知心理学
认知科学
人工智能
刺激(心理学)
意义(存在)
计算机科学
钥匙(锁)
计算模型
认知机器人学
心理计时
通用人工智能
理性分析
认知计算
人工智能,定位方法
认知建筑学
作者
Michael C. Frank,Noah D. Goodman
标识
DOI:10.1146/annurev-psych-030625-040748
摘要
Recent progress in artificial intelligence (AI) is exciting, but can AI models tell us about the human mind? AI models have a long history of being used as theoretical artifacts in cognitive science, but one key difference in the current generation of models is that they are stimulus computable, meaning that they can operate over stimuli that are similar to those experienced by people. This advance creates important opportunities for deepening our understanding of the human mind. We argue here that the most exciting of these is the use of AI models as cognitive models, wherein they are trained using human-scale input data and evaluated using careful experimental probes. Such cognitive models constitute a substantial advance that can inform theories of human intelligence by helping to explain and predict behavior.
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