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Minds and Machines最新文献

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Natural and Artificial Intelligence: A Comparative Analysis of Cognitive Aspects 自然智能与人工智能:认知方面的比较分析
IF 7.4 3区 计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2023-09-07 DOI: 10.1007/s11023-023-09646-w
Francesco Abbate
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引用次数: 1
Avatars as Proxies 化身为代理
IF 7.4 3区 计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2023-07-26 DOI: 10.1007/s11023-023-09643-z
Paula Sweeney
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引用次数: 0
Can Deep CNNs Avoid Infinite Regress/Circularity in Content Constitution? 深度cnn能避免内容构成的无限回归/循环吗?
IF 7.4 3区 计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2023-07-17 DOI: 10.1007/s11023-023-09642-0
J. Lopes
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引用次数: 1
The Non-theory-driven Character of Computer Simulations and Their Role as Exploratory Strategies 计算机模拟的非理论驱动特征及其作为探索性策略的作用
IF 7.4 3区 计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2023-07-11 DOI: 10.1007/s11023-023-09641-1
J. M. Durán
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引用次数: 0
Reasoning with Concepts: A Unifying Framework 概念推理:一个统一的框架
IF 7.4 3区 计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2023-07-11 DOI: 10.1007/s11023-023-09640-2
P. Gärdenfors, Matías Osta-Vélez
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引用次数: 0
An Alternative to Cognitivism: Computational Phenomenology for Deep Learning 认知主义的替代方案:深度学习的计算现象学
IF 7.4 3区 计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2023-06-29 DOI: 10.1007/s11023-023-09638-w
P. Beckmann, G. Köstner, Inês Hipólito
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引用次数: 1
Machines Learn Better with Better Data Ontology: Lessons from Philosophy of Induction and Machine Learning Practice 更好的数据本体论让机器更好地学习:归纳哲学和机器学习实践的经验教训
IF 7.4 3区 计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2023-06-20 DOI: 10.1007/s11023-023-09639-9
Dan Li
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引用次数: 0
True Turing: A Bird’s-Eye View 真正的图灵:鸟瞰
IF 7.4 3区 计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2023-06-19 DOI: 10.1007/s11023-023-09634-0
E. Daylight
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引用次数: 0
The Puzzling Resilience of Multiple Realization 多重实现令人困惑的弹性
IF 7.4 3区 计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2023-06-01 DOI: 10.1007/s11023-023-09635-z
Thomas W. Polger, Lawrence Shapiro
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引用次数: 0
Explainable AI and Causal Understanding: Counterfactual Approaches Considered 可解释的人工智能和因果理解:考虑反事实方法
IF 7.4 3区 计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2023-06-01 DOI: 10.1007/s11023-023-09637-x
S. Baron
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引用次数: 1
期刊
Minds and Machines
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