This volume is a theoretical and practical approach to the design of computer technology.

    But, as Anne E. Greene shows in Writing Science in Plain English,writers from all scientific disciplines can learn to produce clear, concise prose by mastering just a few simple principles.   This short, focused guide presents a dozen such principles based on what readers need in order to understand complex information, including concrete subjects, strong verbs, consistent terms, and organized paragraphs. The author, a biologist and an experienced teacher of scientific writing, illustrates each principle with real-life examples of both good and bad writing and shows how to revise bad writing to make it clearer and more concise. She ends each chapter with practice exercises so that readers can come away with new writing skills after just one sitting.  Writing Science in Plain English can help writers at all levels of their academic and professional careers—undergraduate students working on research reports, established scientists writing articles and grant proposals, or agency employees working to follow the Plain Writing Act. This essential resource is the perfect companion for all who seek to write science effectively.

    You can use it to talk about all sorts of things -- from your new labradoodle puppy to the expansive gardens at Versailles, from Roger Federer's backhand to things that don't exist at all, like flying pigs. And when you talk, your listener fills in lots of details you didn't mention -- the curliness of the dog's fur or the vast statuary on the grounds of the French palace. What's the trick behind this magic? How does meaning work?In Louder than Words, cognitive scientist Benjamin Bergen draws together a decade’s worth of research in psychology, linguistics, and neuroscience to offer a new theory of how our minds make meaning. When we hear words and sentences, Bergen contends, we engage the parts of our brain that we use for perception and action, repurposing these evolutionarily older networks to create simulations in our minds. These embodied simulations, as they're called, are what makes it possible for us to become better baseball players by merely visualizing a well-executed swing; what allows us to remember which cupboard the diapers are in without looking, and what makes it so hard to talk on a cell phone while we're driving on the highway. Meaning is more than just knowing definitions of words, as others have previously argued. In understanding language, our brains engage in a creative process of constructing rich mental worlds in which we see, hear, feel, and act.Through whimsical examples and ingenious experiments, Bergen leads us on a virtual tour of the new science of embodied cognition. A brilliant account of our human capacity to understand language, Louder than Words will profoundly change how you read, speak, and listen.

    The most authentic edition of Chaucer's Complete Works available.- The fruit of years of scholarship by an international team of experts- A new foreword by Christopher Cannon introduces students to recent developments in Chaucer Studies- A detailed introduction covers Chaucer's life, works, language, and verse- Includes on-the-page glosses, explanatory notes, textual notes, bibliography, and a glossary

    Learn You a Haskell for Great Good! introduces programmers familiar with imperative languages (such as C++, Java, or Python) to the unique aspects of functional programming. Packed with jokes, pop culture references, and the author's own hilarious artwork, Learn You a Haskell for Great Good! eases the learning curve of this complex language, and is a perfect starting point for any programmer looking to expand his or her horizons. The well-known web tutorial on which this book is based is widely regarded as the best way for beginners to learn Haskell, and receives over 30,000 unique visitors monthly.

    In Eloquent Ruby, Russ Olsen helps you write Ruby like true Rubyists do-so you can leverage its immense, surprising power. Olsen draws on years of experience internalizing the Ruby culture and teaching Ruby to other programmers. He guides you to the "Ah Ha!" moments when it suddenly becomes clear why Ruby works the way it does, and how you can take advantage of this language's elegance and expressiveness. Eloquent Ruby starts small, answering tactical questions focused on a single statement, method, test, or bug. You'll learn how to write code that actually looks like Ruby (not Java or C#); why Ruby has so many control structures; how to use strings, expressions, and symbols; and what dynamic typing is really good for. Next, the book addresses bigger questions related to building methods and classes. You'll discover why Ruby classes contain so many tiny methods, when to use operator overloading, and when to avoid it. Olsen explains how to write Ruby code that writes its own code-and why you'll want to. He concludes with powerful project-level features and techniques ranging from gems to Domain Specific Languages. A part of the renowned Addison-Wesley Professional Ruby Series, Eloquent Ruby will help you "put on your Ruby-colored glasses" and get results that make you a true believer.

    By using objects early to solve interesting problems and defining objects later in the course, Building Java Programs develops programming knowledge for a broad audience. Introduction to Java Programming, Primitive Data and Definite Loops, Introduction to Parameters and Objects, Conditional Execution, Program Logic and Indefinite Loops, File Processing, Arrays, Defining Classes, Inheritance and Interfaces, ArrayLists, Java Collections Framework, Recursion, Searching and Sorting, Graphical User Interfaces. For all readers interested in introductory programming.

    Real rationality, of the sort studied by psychologists, social scientists, and mathematicians. The kind of rationality where you make good decisions, even when it's hard; where you reason well, even in the face of massive uncertainty; where you recognize and make full use of your fuzzy intuitions and emotions, rather than trying to discard them. In "Rationality: From AI to Zombies," Eliezer Yudkowsky explains the science underlying human irrationality with a mix of fables, argumentative essays, and personal vignettes. These eye-opening accounts of how the mind works (and how, all too often, it doesn't!) are then put to the test through some genuinely difficult puzzles: computer scientists' debates about the future of artificial intelligence (AI), physicists' debates about the relationship between the quantum and classical worlds, philosophers' debates about the metaphysics of zombies and the nature of morality, and many more. In the process, "Rationality: From AI to Zombies" delves into the human significance of correct reasoning more deeply than you'll find in any conventional textbook on cognitive science or philosophy of mind. A decision theorist and researcher at the Machine Intelligence Research Institute, Yudkowsky published earlier drafts of his writings to the websites Overcoming Bias and Less Wrong. "Rationality: From AI to Zombies" compiles six volumes of Yudkowsky's essays into a single electronic tome. Collectively, these sequences of linked essays serve as a rich and lively introduction to the science—and the art—of human rationality.

    Key questions and topics covered include:What is phenomenology? naturalizing phenomenology and the empirical cognitive sciences phenomenology and consciousness consciousness and self-consciousness, including perception and action time and consciousness, including William James intentionality the embodied mind action knowledge of other minds situated and extended minds phenomenology and personal identityInteresting and important examples are used throughout, including phantom limb syndrome, blindsight and self-disorders in schizophrenia, making The Phenomenological Mind an ideal introduction to key concepts in phenomenology, cognitive science and philosophy of mind.

    Psychology of Learning for Instruction, Third Edition, focuses on the applications and implications of the learning theories. Using excellent examples ranging from primary school instruction to corporate training, this text combines the latest thinking and research to give readers the opportunity to explore the individual theories as viewed by the experts. Readers are encouraged to apply "reflective practice," which is designed to foster a critical and reflective mode of thinking when considering any particular approach to learning and instruction. Provides readers with the practical knowledge needed to apply learning theories to instruction. KEY TOPICS: This text addresses learning as it relates to behavior, cognition, development, biology, motivation and instruction. MARKET: Pre-service and in-service teachers, and educational psychologists.

    With this practical book, you'll explore text-mining techniques with tidytext, a package that authors Julia Silge and David Robinson developed using the tidy principles behind R packages like ggraph and dplyr. You'll learn how tidytext and other tidy tools in R can make text analysis easier and more effective.The authors demonstrate how treating text as data frames enables you to manipulate, summarize, and visualize characteristics of text. You'll also learn how to integrate natural language processing (NLP) into effective workflows. Practical code examples and data explorations will help you generate real insights from literature, news, and social media.Learn how to apply the tidy text format to NLPUse sentiment analysis to mine the emotional content of textIdentify a document's most important terms with frequency measurementsExplore relationships and connections between words with the ggraph and widyr packagesConvert back and forth between R's tidy and non-tidy text formatsUse topic modeling to classify document collections into natural groupsExamine case studies that compare Twitter archives, dig into NASA metadata, and analyze thousands of Usenet messages

    This pioneering book is a vital resource for all those involved in publishing studies, library studies, book history and also those studying English literature, cultural studies, sociology and history.

    Readers will progress from building a basic physics engine to creating intelligent moving objects and complex systems, setting the foundation for further experiments in generative design. Subjects covered include forces, trigonometry, fractals, cellular automata, self-organization, and genetic algorithms. The book's examples are written in Processing, an open-source language and development environment built on top of the Java programming language. On the book's website (http://www.natureofcode.com), the examples run in the browser via Processing's JavaScript mode.

    In this widely acclaimed work, Benedict Anderson examines the creation and global spread of the 'imagined communities' of nationality.Anderson explores the processes that created these communities: the territorialization of religious faiths, the decline of antique kingship, the interaction between capitalism and print, the development of vernacular languages-of-state, and changing conceptions of time. He shows how an originary nationalism born in the Americas was modularly adopted by popular movements in Europe, by the imperialist powers, and by the anti-imperialist resistances in Asia and Africa.This revised edition includes two new chapters, one of which discusses the complex role of the colonialist state's mindset in the develpment of Third World nationalism, while the other analyses the processes by which, all over the world, nations came to imagine themselves as old.

    The text offers a flexible organization, enabling instructors to adapt the book to their particular courses. The book is both complete and careful, and it continues to maintain its emphasis on algorithms and applications. Excellent exercise sets allow students to perfect skills as they practice. This new edition continues to feature numerous computer science applications-making this the ideal text for preparing students for advanced study.