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Minds and Machines最新文献

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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 Q1 Arts and Humanities Pub Date : 2022-04-16 DOI: 10.1007/s11023-022-09601-1
M. Green, Jan G. Michel
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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 Q1 Arts and Humanities Pub Date : 2022-03-16 DOI: 10.1007/s11023-022-09598-7
David S. Watson, Limor Gultchin, Ankur Taly, Luciano Floridi

Necessity and sufficiency are the building blocks of all successful explanations. Yet despite their importance, these notions have been conceptually underdeveloped and inconsistently applied in explainable artificial intelligence (XAI), a fast-growing research area that is so far lacking in firm theoretical foundations. In this article, an expanded version of a paper originally presented at the 37th Conference on Uncertainty in Artificial Intelligence (Watson et al., 2021), we attempt to fill this gap. Building on work in logic, probability, and causality, we establish the central role of necessity and sufficiency in XAI, unifying seemingly disparate methods in a single formal framework. We propose a novel formulation of these concepts, and demonstrate its advantages over leading alternatives. We present a sound and complete algorithm for computing explanatory factors with respect to a given context and set of agentive preferences, allowing users to identify necessary and sufficient conditions for desired outcomes at minimal cost. Experiments on real and simulated data confirm our method’s competitive performance against state of the art XAI tools on a diverse array of tasks.

必要性和充分性是所有成功解释的基石。然而,尽管这些概念很重要,但它们在概念上并不发达,在可解释人工智能(XAI)中的应用也不一致。可解释人工智能是一个快速发展的研究领域,迄今为止还缺乏坚实的理论基础。本文是第37届人工智能不确定性会议(Watson et al., 2021)上发表的一篇论文的扩展版,我们试图填补这一空白。在逻辑、概率和因果关系的基础上,我们在XAI中建立了必要性和充分性的中心角色,将看似不同的方法统一在一个形式框架中。我们提出了这些概念的新公式,并展示了其优于领先替代方案的优势。我们提出了一种可靠而完整的算法,用于计算给定上下文和一组代理偏好的解释因素,允许用户以最小的成本识别期望结果的必要和充分条件。在真实和模拟数据上的实验证实,我们的方法在各种任务上与最先进的XAI工具相比具有竞争力。
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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 Q1 Arts and Humanities Pub Date : 2022-03-07 DOI: 10.1007/s11023-022-09593-y
Paula Sweeney
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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 Q1 Arts and Humanities Pub Date : 2022-03-01 DOI: 10.1007/s11023-022-09600-2
Gabe Dupre
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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
IF 7.4 3区 计算机科学 Q1 Arts and Humanities Pub Date : 2022-03-01 DOI: 10.1007/s11023-022-09596-9
Hajo Greif
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引用次数: 1
Minds and Machines Special Issue: Machine Learning: Prediction Without Explanation? 特刊:机器学习:没有解释的预测?
IF 7.4 3区 计算机科学 Q1 Arts and Humanities Pub Date : 2022-03-01 DOI: 10.1007/s11023-022-09597-8
F. J. Boge,P. Grünke,R. Hillerbrand
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引用次数: 3
Simple Models in Complex Worlds: Occam’s Razor and Statistical Learning Theory 复杂世界中的简单模型:奥卡姆剃刀和统计学习理论
IF 7.4 3区 计算机科学 Q1 Arts and Humanities Pub Date : 2022-03-01 DOI: 10.1007/s11023-022-09592-z
Falco J. Bargagli-Stoffi, G. Cevolani, G. Gnecco
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引用次数: 18
Scientific Exploration and Explainable Artificial Intelligence 科学探索与可解释的人工智能
IF 7.4 3区 计算机科学 Q1 Arts and Humanities Pub Date : 2022-03-01 DOI: 10.1007/s11023-021-09583-6
Carlos A. Zednik, Hannes Boelsen
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引用次数: 6
Schema-Centred Unity and Process-Centred Pluralism of the Predictive Mind 以图式为中心的统一性和以过程为中心的多元性
IF 7.4 3区 计算机科学 Q1 Arts and Humanities Pub Date : 2022-02-25 DOI: 10.1007/s11023-022-09595-w
Nina Poth
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引用次数: 0
Are Propositional Attitudes Mental States? 命题态度是精神状态吗?
IF 7.4 3区 计算机科学 Q1 Arts and Humanities Pub Date : 2022-02-18 DOI: 10.1007/s11023-022-09594-x
Umut Baysan
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引用次数: 0
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Minds and Machines
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