Minds and Machines最新文献_第9页

Explainable Artificial Intelligence in Data Science 数据科学中的可解释人工智能

IF 7.4 3区计算机科学

Minds and Machines Pub Date : 2022-05-12 DOI: 10.1007/s11023-022-09603-z

J. Borrego-Díaz, Juan Galán-Páez

引用次数: 7

Playing Games with Ais: The Limits of GPT-3 and Similar Large Language Models 与人工智能一起玩游戏:GPT-3和类似的大型语言模型的局限性

IF 7.4 3区计算机科学

Minds and Machines Pub Date : 2022-05-03 DOI: 10.1007/s11023-022-09602-0

Adam Sobieszek, Tadeusz Price

引用次数: 32

From representations in predictive processing to degrees of representational features 从预测处理中的表征到表征特征的程度

IF 7.4 3区计算机科学

Minds and Machines Pub Date : 2022-05-03 DOI: 10.1007/s11023-022-09599-6

Danaja Rutar, W. Wiese, J. Kwisthout

引用次数: 2

Correction to: What Might Machines Mean? 更正:机器可能意味着什么?

IF 7.4 3区计算机科学

Minds and Machines Pub Date : 2022-04-16 DOI: 10.1007/s11023-022-09601-1

M. Green, Jan G. Michel

引用次数: 0

Local Explanations via Necessity and Sufficiency: Unifying Theory and Practice 必要性与充分性的局部解释:理论与实践的统一

IF 7.4 3区计算机科学

Minds and Machines Pub Date : 2022-03-16 DOI: 10.1007/s11023-022-09598-7

David S. Watson, Limor Gultchin, Ankur Taly, Luciano Floridi

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引用次数: 38

Why Indirect Harms do not Support Social Robot Rights 为什么间接伤害不支持社交机器人权利

IF 7.4 3区计算机科学

Minds and Machines Pub Date : 2022-03-07 DOI: 10.1007/s11023-022-09593-y

Paula Sweeney

引用次数: 4

Correction to: (What) Can Deep Learning Contribute to Theoretical Linguistics? 修正:(什么)深度学习对理论语言学有贡献吗?

IF 7.4 3区计算机科学

Minds and Machines Pub Date : 2022-03-01 DOI: 10.1007/s11023-022-09600-2

Gabe Dupre

引用次数: 0

Analogue Models and Universal Machines. Paradigms of Epistemic Transparency in Artificial Intelligence 模拟模型和通用机器。人工智能中的认知透明范式