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Is it good to be trusting, or should we be wary of trusting others? Trust seems to be the basis of large-scale social cooperation and even of democracy itself, but in recent years many commentators and researchers have lamented the dawn of a post-trust era. Edited by David Collins, Iris Vidmar Jovanović, and Mark Alfano, The Moral Psychology of Trust examines trust from a variety of perspectives in philosophy and the social sciences. The contributors explore topics such as the nature of trust and its connection to a range of other emotions, conditions under which it is good to be trusting and trustworthy, and what role trust might play in our intellectual, moral, and political lives. The chapters apply theoretical perspectives on trust to a number of issues of current concern, including how trust can and should function in conditions of social oppression, trust and technology, trust and conspiracy theories, the place of trust in medical ethics, and the ethics of trust in a variety of interpersonal relationships.
"The past becomes readable when we can tell stories and make arguments about it. When we can tell more than one story or make divergent arguments, the readability of the past then becomes an issue. Therein lies the beginning of history, the sense of inquiry that heightens our awareness of interpretation. How do interpretive structures develop and disintegrate? What are the possibilities and limits of historical knowledge? This book explores these issues through a study of the Zuozhuan, a foundational text in the Chinese tradition, whose rhetorical and analytical self-consciousness reveals much about the contending ways of thought unfolding during the period of the text’s formation (ca. 4th...
This volume contains more than sixty invited papers of international wellknown scientists in the fields where Alain Bensoussan's contributions have been particularly important: filtering and control of stochastic systems, variationnal problems, applications to economy and finance, numerical analysis... In particular, the extended texts of the lectures of Professors Jens Frehse, Hitashi Ishii, Jacques-Louis Lions, Sanjoy Mitter, Umberto Mosco, Bernt Oksendal, George Papanicolaou, A. Shiryaev, given in the Conference held in Paris on December 4th, 2000 in honor of Professor Alain Bensoussan are included.
Andy Kirkpatrick and and Zhichang Xu offer a response to the argument that Chinese students’ academic writing in English is influenced by “culturally nuanced rhetorical baggage that is uniquely Chinese and hard to eradicate.” Noting that this argument draws from “an essentially monolingual and Anglo-centric view of writing,” they point out that the rapid growth in the use of English worldwide calls for “a radical reassessment of what English is in today’s world.” The result is a book that provides teachers of writing, and in particular those involved in the teaching of English academic writing to Chinese students, an introduction to key stages in the development of Chinese rhetoric, a wide-ranging field with a history of several thousand years. Understanding this important rhetorical tradition provides a strong foundation for assessing and responding to the writing of this growing group of students.
The subject of numerical methods in finance has recently emerged as a new discipline at the intersection of probability theory, finance, and numerical analysis. The methods employed bridge the gap between financial theory and computational practice, and provide solutions for complex problems that are difficult to solve by traditional analytical methods. Although numerical methods in finance have been studied intensively in recent years, many theoretical and practical financial aspects have yet to be explored. This volume presents current research and survey articles focusing on various numerical methods in finance. The book is designed for the academic community and will also serve professional investors.
This book presents the outcomes of the 2022 4th International Conference on Cyber Security Intelligence and Analytics (CSIA 2022), an international conference dedicated to promoting novel theoretical and applied research advances in the interdisciplinary field of cyber-security, particularly focusing on threat intelligence, analytics, and countering cyber-crime. The conference provides a forum for presenting and discussing innovative ideas, cutting-edge research findings and novel techniques, methods and applications on all aspects of cyber-security intelligence and analytics. Due to COVID-19, authors, keynote speakers and PC committees will attend the conference online.
The three-volume proceedings set LNCS 13655,13656 and 13657 constitutes the refereedproceedings of the 4th International Conference on Machine Learning for Cyber Security, ML4CS 2022, which taking place during December 2–4, 2022, held in Guangzhou, China. The 100 full papers and 46 short papers were included in these proceedings were carefully reviewed and selected from 367 submissions.
D. R. Howland explores China’s representations of Japan in the changing world of the late nineteenth century and, in so doing, examines the cultural and social borders between the two neighbors. Looking at Chinese accounts of Japan written during the 1870s and 1880s, he undertakes an unprecedented analysis of the main genres the Chinese used to portray Japan—the travel diary, poetry, and the geographical treatise. In his discussion of the practice of “brushtalk,” in which Chinese scholars communicated with the Japanese by exchanging ideographs, Howland further shows how the Chinese viewed the communication of their language and its dominant modes—history and poetry—as the textual...
This two-volume set, CCIS 1453 and CCIS 1454, constitutes refereed proceedings of the 6th International Conference on Data Mining and Big Data, DMBD 2021, held in Guangzhou, China, in October 2021. The 57 full papers and 28 short papers presented in this two-volume set were carefully reviewed and selected from 258 submissions. The papers present the latest research on advantages in theories, technologies, and applications in data mining and big data. The volume covers many aspects of data mining and big data as well as intelligent computing methods applied to all fields of computer science, machine learning, data mining and knowledge discovery, data science, etc.