本书首先在铺叙黑格尔哲学的活头泉水的哲思发展, 继而指出日耳曼经典观念论的首创者康德及其批判性哲学, 接着析述其后人费希特与谢林对所谓的思辨哲学之批评, 补充与发挥, 而及于黑格尔哲学的一脉相传, 总结前说, 另创新意.同时, 把黑格尔哲学的菁华, 诸如心灵(精神)哲学, 逻辑(包括辩证法), 自然哲学, 社会(政治)哲学与历史哲学做一个扼要的介绍.

LANGUAGE NOTE | Document text in Chinese; abstract also in English. 在〈承認理論的創造論回歸一一一項關於人倫構成的哲學研究〉一文中，唐文明(以下簡稱作者)圍繞倫理共同體的超越性奠基這一核心問題，從分析黑格爾與霍耐特的承認理論之得失出發，引入阿倫特對奥古斯丁記憶理論的闡 發及其提出的“誕生性”概念，力圖在古代儒學語境中釐清天人之倫的垂直向度對於人人之倫的水準向度所具有的前提性意義。(撮要取自內文首段) Professor Tang's essay successfully presents the theoretical connection between the theory of recognition and the doctrine of creation in the Christian and Confucian traditions. The following critical review consists of four parts: (1) an evaluation of Tang's method of intellectual history, (2) a criticism of Tang's reading of Descartes' third meditation, (3) an analysis of Arendt's concept of natality, and (4) a discussion of the importance of gender equality (...) in the Confucian moral theory of society. (shrink)

There is increasing interest in how the pupil dynamics of the eye reflect underlying cognitive processes and brain states. Problematic, however, is that pupil changes can be due to non-cognitive factors, for example luminance changes in the environment, accommodation and movement. In this paper we consider how by modeling the response of the pupil in real-world environments we can capture the non-cognitive related changes and remove these to extract a residual signal which is a better index of cognition and performance. (...) Specifically, we utilize sequence measures such as fixation position, duration, saccades, and blink-related information as inputs to a deep recurrent neural network (RNN) model for predicting subsequent pupil diameter. We build and evaluate the model for a task where subjects are watching educational videos and subsequently asked questions based on the content. Compared to commonly-used models for this task, the RNN had the lowest errors rates in predicting subsequent pupil dilation given sequence data. Most importantly was how the model output related to subjects' cognitive performance as assessed by a post-viewing test. Consistent with our hypothesis that the model captures non-cognitive pupil dynamics, we found (1) the model's root-mean square error was less for lower performing subjects than for those having better performance on the post-viewing test, (2) the residuals of the RNN (LSTM) model had the highest correlation with subject post-viewing test scores and (3) the residuals had the highest discriminability (assessed via area under the ROC curve, AUC) for classifying high and low test performers, compared to the true pupil size or the RNN model predictions. This suggests that deep learning sequence models may be good for separating components of pupil responses that are linked to luminance and accommodation from those that are linked to cognition and arousal. (shrink)

Youth entrepreneurship is regarded as an important part of rural revitalization. Against the backdrop of the rural revitalization strategy, the Chinese government has introduced many policies to encourage return-home entrepreneurship among young people. However, highly educated youth have a lower willingness to return home for entrepreneurship, and prefer urban entrepreneurship or getting a job in a city. Therefore, this study used a two-stage approach to explore the factors that influence young people’s contribution to the development of their homeland, the barriers (...) they face, and the support mechanisms they need. The study found that many barriers affect young people’s intention to return home for entrepreneurship. In rural areas, young people consider lagging environmental development to be the biggest barrier. In urban areas, infrastructure, lack of entrepreneurial experience, and funding are the factors that concern young people the most. As they have limited entrepreneurial experience, young people in both rural and urban areas have a high demand for shared entrepreneurial experience, as well as entrepreneurship courses and mentoring. The government and universities should remove the barriers faced by young people, provide more assistance, improve the environment for young people engaging in return-home entrepreneurship, and form a good entrepreneurial ecology. (shrink)