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Humorous Discourse
This book attempts to discuss selected but thorny issues of humor research that form the major stumbling blocks as well as challenges in humor studies at large and thus merit insightful discussion. Any discourse is action, so the text-creation process is always set in a non-verbal context, built of a social and communicative situation, and against the background of relevant culture. On the other hand, humor scholars claim that humorous discourse has its special, essential features that distinguish it from other discourses. The pragmatic solution to the issue of potential circularity of humor defined in terms of discourse and discourse in terms of humor seems only feasible, and thus there is a need to discuss the structure and mechanisms of humorous texts and humorous performances. The chapters in the present volume, contributed by leading scholars in the field of humor studies, address the issues from various theoretical perspectives, from contextual semantics through General Theory of Verbal Humor, cognitive linguistics, discourse studies, sociolinguistics, to Ontological Semantic Theory of Humor, providing an excellent overview of the field to novices and experts alike.
The Artist in the Machine
An authority on creativity introduces us to AI-powered computers that are creating art, literature, and music that may well surpass the creations of humans. Today's computers are composing music that sounds “more Bach than Bach,” turning photographs into paintings in the style of Van Gogh's Starry Night, and even writing screenplays. But are computers truly creative—or are they merely tools to be used by musicians, artists, and writers? In this book, Arthur I. Miller takes us on a tour of creativity in the age of machines. Miller, an authority on creativity, identifies the key factors essential to the creative process, from “the need for introspection” to “the ability to discover...
The Serial Killer's Apprentice
A psychological examination of the blurred line between victim and accomplice—and how a killer can be created Elmer Wayne Henley, Jr. was only fourteen when he first became entangled with serial rapist and murderer Dean Corll in 1971. Fellow Houston, Texas, teenager David Brooks had already been ensnared by the charming older man, bribed with cash to help lure boys to Corll’s home. When Henley unwittingly entered the trap, Corll evidently sensed he’d be of more use as a second accomplice than another victim. He baited Henley with the same deal he’d given Brooks: $200 for each boy they could bring him. Henley didn’t understand the full extent of what he had signed up for at first. B...
The Consolations of Humor and Other Folklore Essays
The Consolations of Humor and Other Folklore Essays unfolds as a series of questions, commentaries, and criticisms of the analysis, interpretation, and explanation of folklore. Can we confidently regard jokes as the catharsis of sexual and aggressive impulses? What is the basis for characterizing a joke as Jewish or Scottish or Japanese? What do we really know about “dirty jokes”? How is a text or behavior constructed so that it is perceived as humorous? Can we get a computer to reliably recognize jokes? What is the relevance of memetics and a Darwinian paradigm to understanding folklore change over time? Can we identify laws operating in the realm of folklore? How can the marginalizatio...
Cognitive Analytics: Concepts, Methodologies, Tools, and Applications
Due to the growing use of web applications and communication devices, the use of data has increased throughout various industries, including business and healthcare. It is necessary to develop specific software programs that can analyze and interpret large amounts of data quickly in order to ensure adequate usage and predictive results. Cognitive Analytics: Concepts, Methodologies, Tools, and Applications provides emerging perspectives on the theoretical and practical aspects of data analysis tools and techniques. It also examines the incorporation of pattern management as well as decision-making and prediction processes through the use of data management and analysis. Highlighting a range of topics such as natural language processing, big data, and pattern recognition, this multi-volume book is ideally designed for information technology professionals, software developers, data analysts, graduate-level students, researchers, computer engineers, software engineers, IT specialists, and academicians.
Fuzzy Information Processing 2020
This book describes how to use expert knowledge—which is often formulated by using imprecise (fuzzy) words from a natural language. In the 1960s, Zadeh designed special "fuzzy" techniques for such use. In the 1980s, fuzzy techniques started controlling trains, elevators, video cameras, rice cookers, car transmissions, etc. Now, combining fuzzy with neural, genetic, and other intelligent methods leads to new state-of-the-art results: in aerospace industry (from drones to space flights), in mobile robotics, in finances (predicting the value of crypto-currencies), and even in law enforcement (detecting counterfeit banknotes, detecting online child predators and in creating explainable AI systems). The book describes these (and other) applications—as well as foundations and logistics of fuzzy techniques. This book can be recommended to specialists—both in fuzzy and in various application areas—who will learn latest techniques and their applications, and to students interested in innovative ideas.
大学英语阅读初阶教程
本教材以提高學生英語閱讀技能為宗旨，配以根據大學英語四六級考試最新題型編寫的練習作為學生閱讀能力的訓練和檢測，旨在逐步培養學生的閱讀技能和良好的閱讀習慣以及閱讀方式，提高學生的英語閱讀能力。同時，幫助學生通過有效閱讀來獲取知識、拓寬視野。教材分為1-2冊。本冊為第1冊，由8個單元組成，單元內容涉及瀏覽閱讀、快速閱讀、推測詞義、根據已知信息猜測單詞、作出推論、辨認主題展開的重要細節，以及得出結論等。每個單元以閱讀技能為主線條，通過閱讀文章的引入，然後對各個微技能的講解，並用實例來詳細闡述其在閱讀過程中的應用。本教材可作為大學英語一二年級閱讀課教材使用，也可用做學生的課外補充學習資料。 More
Decision Making under Constraints
This book presents extended versions of selected papers from the annual International Workshops on Constraint Programming and Decision Making from 2016 to 2018. The papers address all stages of decision-making under constraints: (1) precisely formulating the problem of multi-criteria decision-making; (2) determining when the corresponding decision problem is algorithmically solvable; (3) finding the corresponding algorithms and making these algorithms as efficient as possible; and (4) taking into account interval, probabilistic, and fuzzy uncertainty inherent in the corresponding decision-making problems. In many application areas, it is necessary to make effective decisions under constraint...
