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Love has been the subject of much fascination. It is indeed one of those things which elude us in many ways. The long-lasting disagreement over love's nature is unsurprising. In light of this, a piecemeal approach to love is in order. Instead of asking what love is down the line, we might need to investigate its various features and its connection to other things. The Rationality of Love addresses the question whether love belongs, paradoxically enough, to the realm of reason, whether love belongs to the class of responses, such as belief and action, that admit of norms of justification and rationality. Are there normative reasons to love someone? Can it be an appropriate or fitting response...
Taiwan's relationship with mainland China is one of the most fraught in East Asia, a key issue in the island's domestic politics, and a major obstacle in Sino-American relations. Between Assimilation and Independence explores the roots of this conflict in the immediate postwar period, when the Nationalist government led by Jiang Jieshi took control of the island after fifty years of Japanese rule. It is the first in-depth examination of how the Nationalists consolidated their rule over Taiwan even as they collapsed on the mainland. During the 1945-50 period, the Taiwanese experienced disappointment with Nationalist misrule; struggles over decolonization and the Japanese legacy; a violent uprising and brutal government response; and the chaos surrounding Jiang Jieshi's retreat with his mainlander-dominated authoritarian regime. This book, based on archival materials newly available in Taiwan and the United States, shows how the Taiwanese sought to place the island between independence--becoming a sovereign nation--and assimilation into China as a province.
This book is part I of a two-volume work that contains the refereed proceedings of the International Conference on Life System Modeling and Simulation, LSMS 2010 and the International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2010, held in Wuxi, China, in September 2010. The 194 revised full papers presented were carefully reviewed and selected from over 880 submissions and recommended for publication by Springer in two volumes of Lecture Notes in Computer Science (LNCS) and one volume of Lecture Notes in Bioinformatics (LNBI). This particular volume of Lecture Notes in Computer Science (LNCS) includes 55 papers covering 7 relevant topics. The 55 paper...
This two-volume set constitutes the refereed proceedings of the 8th International Workshop on Advanced Computational Intelligence and Intelligent Informatics, IWACIII 2023, held in Beijing, China, in November 2023. The 56 papers presented were thoroughly reviewed and selected from the 118 qualifies submissions. They are organized in the topical sections on intelligent information processing; intelligent optimization and decision-making; pattern recognition and computer vision; advanced control; multi-agent systems; robotics.
The burgeoning science of ethics has produced a trend toward pessimism. Ordinary moral thought and action, we're told, are profoundly influenced by arbitrary factors and ultimately driven by unreasoned feelings. This book counters the current orthodoxy on its own terms by carefully engaging with the empirical literature. The resulting view, optimistic rationalism, shows the pervasive role played by reason our moral minds, and ultimately defuses sweeping debunking arguments in ethics. The science does suggest that moral knowledge and virtue don't come easily. However, despite the heavy influence of automatic and unconscious processes that have been shaped by evolutionary pressures, we needn't reject ordinary moral psychology as fundamentally flawed or in need of serious repair. Reason can be corrupted in ethics just as in other domains, but a special pessimism about morality in particular is unwarranted. Moral judgment and motivation are fundamentally rational enterprises not beholden to the passions.
This book is the first of its kind on environmental change research devoted to monsoon-arid environment evolution history and its mechanism involved. Capturing the most prominent features of Asian climate and environmental changes, it gives a comprehensive review of the Asian Monsoon records providing evidence for spatial and temporal climatic and environmental changes across the Asian continent since the Late Cenozoic. The dynamics underlying these changes are explored based on various bio-geological records and in particular based on the evidence of loess, speleothems as well as on mammal fossils. The Asian monsoon-arid climate system which quantifies the controlling mechanisms of climate change and the way it operates in different time scales is described. Attempts to differentiate between natural change and human-induced effects, which will help guide policies and countermeasures designed to support sustainable development on the Chinese Loess Plateau and the arid west.
The text discusses recurrent neural networks for prediction and offers new insights into the learning algorithms, architectures, and stability of recurrent neural networks. It discusses important topics including recurrent and folding networks, long short-term memory (LSTM) networks, gated recurrent unit neural networks, language modeling, neural network model, activation function, feed-forward network, learning algorithm, neural turning machines, and approximation ability. The text discusses diverse applications in areas including air pollutant modeling and prediction, attractor discovery and chaos, ECG signal processing, and speech processing. Case studies are interspersed throughout the b...
Neil Sinhababu defends the Humean Theory of Motivation, according to which desire drives all human action and practical reasoning. This theory helps us to understand core aspects of human nature, such as intention, the will, moral belief, emotion, and the self; and it has revolutionary consequences for ethics.
Master core data analysis skills using Julia. Interesting hands-on projects guide you through time series data, predictive models, popularity ranking, and more. In Julia for Data Analysis you will learn how to: Read and write data in various formats Work with tabular data, including subsetting, grouping, and transforming Visualize your data Build predictive models Create data processing pipelines Create web services sharing results of data analysis Write readable and efficient Julia programs Julia was designed for the unique needs of data scientists: it's expressive and easy-to-use whilst also delivering super-fast code execution. Julia for Data Analysis shows you how to take full advantage ...