hydroxyapatite
发表于 2025-3-21 16:27:58
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细节
发表于 2025-3-21 21:43:30
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CRUDE
发表于 2025-3-22 03:34:27
Marco Giugni,Jasmine Lorenzinintributing segments for a prediction. Results are compared with two explanation methods, namely mask perturbation and LIME. The results for the MNIST hand-written digit dataset produced by the three methods show that CI provides better visual explainability.
后天习得
发表于 2025-3-22 07:07:56
Marco Giugni,Jasmine Lorenziniargues that the field of explainable artificial intelligence can build on this existing research, and reviews relevant papers from philosophy, cognitive psychology/science, and social psychology, which study these topics. It draws out some important findings, and discusses ways that these can be inf
赦免
发表于 2025-3-22 08:57:08
Marco Giugni,Jasmine Lorenziniand understand this debate, and that reducing reliance on theory-theory by incorporating more simulationist frameworks into XAI could help further the field. We propose that such incorporation would involve robots employing more embodied cognitive processes when communicating with humans, highlighti
Exonerate
发表于 2025-3-22 14:48:42
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Musculoskeletal
发表于 2025-3-22 19:06:09
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Stagger
发表于 2025-3-23 00:54:30
Marco Giugni,Jasmine Lorenzinitegies could be verified. Stated results illustrate the vast variety in human communication and disclose both requirements of users and obstacles in the implementation of protocols for interacting agents. Finally, we inferred essential indications for the implementation of such a CI. The findings sh
Emmenagogue
发表于 2025-3-23 01:43:41
Marco Giugni,Jasmine Lorenziniferent explanation approaches autonomous agents may use. In this context, we focus on human-agent interaction scenarios. As a first step towards an empirical evaluation, we conduct a preliminary human-robot interaction study that investigates the effect of explanations of (somewhat) sympathetic robo
细颈瓶
发表于 2025-3-23 08:15:09
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