Fourteen subjects were tape‐recorded while they undertook to find a law to summarize numerical data they were given. The source of the data was not identified, nor were the variables labeled semantically. Unknown to the subjects, the data were measurements of the distances of the planets from the sun and the periods of their revolutions about it—equivalent to the data used by Johannes Kepler to discover his third law of planetary motion.Four of the 14 subjects discovered the same law as (...) Kepler did (the period varies as the 3/2 power of the distance), and a fifth came very close to the answer. The subiects' protocols provide a detailed picture of the problem‐solving searches they engaged in, which were mainly, but not exclusively, in the space of possible functions for fitting the data, and provide explanations as to why some succeeded and the others failed.The search heuristics used by the subjects are similar to those embodied in the BACON program, computer simulation of certain scientific discovery processes. The experiment demonstrates the feasibility of examining some of the processes of scientific discovery by recreating, in the laboratory, discovery situations of substantial historical relevance. It demonstrates also, that under conditions rather similar to those of the original discoverer, a law can be rediscovered by persons of ordinary intelligence (i.e., the intelligence needed for academic success in a good university). The data for the successful subjects reveal no “creative” processes in this kind of a discovery situation different from those that are regularly observed in all kinds of problem‐solving settings. (shrink)

In this survey of feminist theory, Rosemarie Tong provides coverage of the psychoanalytic, existential and postmodern schools of feminism. The author guides the reader through the complexities of even the most notoriously difficult thinkers. Students will meet and become familiar with many of the essential figures in the feminist tradition, from Wollstonecraft and Engel, on through de Beauvoir, Dinnerstein, and Daly, and up to Mitchell and Cixous. The text treats all views with respect and encourages students to think critically (...) and sympathetically about a wide range of views that have a direct relevance to their own lives. (shrink)

As the labeling costs in legal artificial intelligence tasks are expensive. Therefore, it becomes a challenge to utilize low cost to train a robust model. In this paper, we propose a LAIAugment approach, which aims to enhance the few-shot learning capability in legal artificial intelligence tasks. Specifically, we first use the self-training approach to label the amount of unlabelled data to enhance the feature learning capability of the model. Moreover, we also search for datasets that are similar to the training (...) set by improving the text similarity function. We conducted experimental analyses for three legal artificial intelligence tasks, including evidence extraction, legal element extraction, and case multi-label prediction, which composed of 3500 judgement documents. The experimental results show that the proposed LAIAugment method has an average F1-score of 72.3% on the three legal AI tasks, which is 1.93% higher than the baseline model. At the same time, it shows a huge improvement in few-shot learning. (shrink)

本书共五编,内容包括:规范刑法学导论、刑法规范论、客观归属论、规范的责任论和规范刑法理论之展开。.

Evidences are important proofs to support judicial trials. Automatically extracting evidences from judgement documents can be used to assess the trial quality and support “Intelligent Court”. Current evidence extraction is primarily depended on sequence labelling models. Despite their success, they can only assign a label to a token, which is difficult to recognize nested evidence entities in judgment documents, where a token may belong to several evidences at the same time. In this paper, we present a novel evidence extraction architecture (...) called ATT-MRC, in which extracting evidence entities is formalized as a question answer problem, where all evidence spans are screened out as possible correct answers. Furthermore, to address the data imbalance problem in the judgement documents, we revised the loss function and combined it with a data enhancement technique. Experimental results demonstrate that our model has better performance than related works in evidence extraction. (shrink)

Traditional research on emotion-face processing has primarily focused on the expression of basic emotions using adult emotional face stimuli. Stimulus sets featuring child faces or emotions other than basic emotions are rare. The current study describes the acquisition and evaluation of the Qingdao Preschooler Facial Expression set, a facial stimulus set with images featuring 54 Chinese preschoolers’ emotion expressions. The set includes 712 standardized color photographs of six basic emotions, five discrete positive emotions, and a neutral expression. The validity of (...) the pictures was examined based on 43 adult raters’ online evaluation, including agreement between designated emotions and raters’ labels, as well as intensity and representativeness scores. Overall, these data should contribute to the developmental and cross-cultural research on children’s emotion expressions and provide insights for future research on positive emotions. (shrink)

Augmented reality-based brain–computer interface (AR–BCI) has a low signal-to-noise ratio (SNR) and high real-time requirements. Classical machine learning algorithms that improve the recognition accuracy through multiple averaging significantly affect the information transfer rate (ITR) of the AR–SSVEP system. In this study, a fast recognition method based on a separable convolutional neural network (SepCNN) was developed for an AR-based P300 component (AR–P300). SepCNN achieved single extraction of AR–P300 features and improved the recognition speed. A nine-target AR–P300 single-stimulus paradigm was designed to (...) be administered with AR holographic glasses to verify the effectiveness of SepCNN. Compared with four classical algorithms, SepCNN significantly improved the average target recognition accuracy (81.1%) and information transmission rate (57.90 bits/min) of AR–P300 single extraction. SepCNN with single extraction also attained better results than classical algorithms with multiple averaging. (shrink)

Name der Zeitschrift: Semiotica Jahrgang: 2014 Heft: 202 Seiten: 345-364.

The last millennium saw rapid change, spreading globalization, and shifting populations. These have posed moral, ethical, and social dilemmas that have challenged the very foundations of our beliefs and radically changed our way of life. In this volume, some of the world's greatest thinkers in philosophy, music, religion, and the arts share their insights on the future shape of human civilization. How can old cultural legacies fit new contexts? Can there be a universalist values coexist with local differentiation? Are literature (...) and music still relevant in a world where technology is dominant? By discussing these important issues in an interdisciplinary framework, these scholars have provided a provisional blueprint for our new society. (shrink)

本书对当前我国企业信用系统的种种危机作了由浅入深的报道,首先介绍了黑心商家诚信丧失、引发食品信任危机,接着介绍了黑洞事件触目惊心,中国股市诚信难寻等内容。.

This response to Asger S?rensen?s paper From Ontology to Epistemology: Tong, Mao and Hegel is made on the basis of a reflection on the author?s intellectual development with special reference to the idea of?dialectics?. This development is mainly composed of three periods, in which the author formed his strong antipathy toward dialectics as a mere tool of power, learnt to understand the importance of?dialogical logic? in providing conceptual tools for human knowledge of a type of reality which is both (...) objective and subjective - human practices - and attempted to understand the?dialectics of rationalization? by integrating?dialectics? in the Western tradition of Critical Theory with the Chinese tradition of?dialectics? systematically interpreted by Feng Qi since the 1990s. (shrink)

EDITOR’S ABSTRACTThis article argues on the basis of internal and external evidence that chapter 15 “Attracting the people” was written by a follower of Shang Yang in the later years of King Zhao of Qin. While the idea of attracting immigrants can be traced back to Shang Yang himself, the article dates the chapter seventy-eight years after his death.

Siendo poeta importante de China, Li Bai ocupa posición relevante en el terreno literario de China, e incluso en el mundo, gradualmente. Y sus símbolos recurridos en las poesías, que están estrechamente relacionados con la cultura tradicional china, cuentan con divergencias en el entendimiento durante el proceso de traducción por las diferencias interculturales. Así que se pretende aprender y reflexionar los significados implícitos en sus poesías chinas inspirando a los traductores de poesías principiantes.