Essential Knowledge, Volume One

Essential Knowledge, Volume One PDF Author:
Publisher: Eden House Publishing
ISBN: 0978740300
Category :
Languages : en
Pages : 530

Book Description


The Book

The Book PDF Author: Amaranth Borsuk
Publisher: MIT Press
ISBN: 0262346893
Category : Literary Criticism
Languages : en
Pages : 346

Book Description
The book as object, as content, as idea, as interface. What is the book in a digital age? Is it a physical object containing pages encased in covers? Is it a portable device that gives us access to entire libraries? The codex, the book as bound paper sheets, emerged around 150 CE. It was preceded by clay tablets and papyrus scrolls. Are those books? In this volume in the MIT Press Essential Knowledge series, Amaranth Borsuk considers the history of the book, the future of the book, and the idea of the book. Tracing the interrelationship of form and content in the book's development, she bridges book history, book arts, and electronic literature to expand our definition of an object we thought we knew intimately. Contrary to the many reports of its death (which has been blamed at various times on newspapers, television, and e-readers), the book is alive. Despite nostalgic paeans to the codex and its printed pages, Borsuk reminds us, the term “book” commonly refers to both medium and content. And the medium has proved to be malleable. Rather than pinning our notion of the book to a single form, Borsuk argues, we should remember its long history of transformation. Considering the book as object, content, idea, and interface, she shows that the physical form of the book has always been the site of experimentation and play. Rather than creating a false dichotomy between print and digital media, we should appreciate their continuities.

The Book of Knowledge

The Book of Knowledge PDF Author: Arthur Mee
Publisher:
ISBN:
Category : Encyclopedias and dictionaries
Languages : en
Pages : 360

Book Description


What Babies Know

What Babies Know PDF Author: Elizabeth S. Spelke
Publisher: Oxford University Press
ISBN: 0190618248
Category : Psychology
Languages : en
Pages : 561

Book Description
What do infants know? How does the knowledge that they begin with prepare them for learning about the particular physical, cultural, and social world in which they live? Answers to this question shed light not only on infants but on children and adults in all cultures, because the core knowledge possessed by infants never goes away. Instead, it underlies the unspoken, common sense knowledge of people of all ages, in all societies. By studying babies, researchers gain insights into infants themselves, into older children's prodigious capacities for learning, and into some of the unconscious assumptions that guide our thoughts and actions as adults. In this major new work, Elizabeth Spelke shares these insights by distilling the findings from research in developmental, comparative, and cognitive psychology, with excursions into studies of animal cognition in psychology and in systems and cognitive neuroscience, and studies in the computational cognitive sciences. Weaving across these disciplines, she paints a picture of what young infants know, and what they quickly come to learn, about objects, places, numbers, geometry, and people's actions, social engagements, and mental states. A landmark publication in the developmental literature, the book will be essential for students and researchers across the behavioral, brain, and cognitive sciences.

The Knowledgebook

The Knowledgebook PDF Author:
Publisher: National Geographic Books
ISBN: 9781426201240
Category : History
Languages : en
Pages : 520

Book Description
A comprehensive, visual reference, enhanced by two thousand photographs and illustrations, provides information on all major fields of knowledge and includes timelines, sidebars, cross-reference, and other useful features.

Critical Thinking

Critical Thinking PDF Author: Jonathan Haber
Publisher: MIT Press
ISBN: 0262538288
Category : Education
Languages : en
Pages : 234

Book Description
An insightful guide to the practice, teaching, and history of critical thinking—from Aristotle and Plato to Thomas Dewey—for teachers, students, and anyone looking to hone their critical thinking skills. Critical thinking is regularly cited as an essential 21st century skill, the key to success in school and work. Given the propensity to believe fake news, draw incorrect conclusions, and make decisions based on emotion rather than reason, it might even be said that critical thinking is vital to the survival of a democratic society. But what, exactly, is critical thinking? Jonathan Haber explains how the concept of critical thinking emerged, how it has been defined, and how critical thinking skills can be taught and assessed. Haber describes the term's origins in such disciplines as philosophy, psychology, and science. He examines the components of critical thinking, including • structured thinking • language skills • background knowledge • information literacy • intellectual humility • empathy and open-mindedness Haber argues that the most important critical thinking issue today is that not enough people are doing enough of it. Fortunately, critical thinking can be taught, practiced, and evaluated. This book offers a guide for teachers, students, and aspiring critical thinkers everywhere, including advice for educational leaders and policy makers on how to make the teaching and learning of critical thinking an educational priority and practical reality.

The Schools We Need

The Schools We Need PDF Author: E.D. Hirsch, Jr.
Publisher: Anchor
ISBN: 030757556X
Category : Education
Languages : en
Pages : 337

Book Description
This paperback edition, with a new introduction, offers a powerful, compelling, and unassailable argument for reforming America's schooling methods and ideas--by one of America's most important educators, and author of the bestselling Cultural Literacy. For over fifty years, American schools have operated under the assumption that challenging children academically is unnatural for them, that teachers do not need to know the subjects they teach, that the learning "process" should be emphasized over the facts taught. All of this is tragically wrong. Renowned educator and author E. D. Hirsch, Jr., argues that, by disdaining content-based curricula while favoring abstract--and discredited--theories of how a child learns, the ideas uniformly taught by our schools have done terrible harm to America's students. Instead of preparing our children for the highly competitive, information-based economy in which we now live, our schools' practices have severely curtailed their ability, and desire, to learn. With an introduction that surveys developments in education since the hardcover edition was published, The Schools We Need is a passionate and thoughtful book that will appeal to the millions of people who can't understand why America's schools aren't educating our children.

Handbook of Knowledge Representation

Handbook of Knowledge Representation PDF Author: Frank van Harmelen
Publisher: Elsevier
ISBN: 0080557023
Category : Computers
Languages : en
Pages : 1035

Book Description
Handbook of Knowledge Representation describes the essential foundations of Knowledge Representation, which lies at the core of Artificial Intelligence (AI). The book provides an up-to-date review of twenty-five key topics in knowledge representation, written by the leaders of each field. It includes a tutorial background and cutting-edge developments, as well as applications of Knowledge Representation in a variety of AI systems. This handbook is organized into three parts. Part I deals with general methods in Knowledge Representation and reasoning and covers such topics as classical logic in Knowledge Representation; satisfiability solvers; description logics; constraint programming; conceptual graphs; nonmonotonic reasoning; model-based problem solving; and Bayesian networks. Part II focuses on classes of knowledge and specialized representations, with chapters on temporal representation and reasoning; spatial and physical reasoning; reasoning about knowledge and belief; temporal action logics; and nonmonotonic causal logic. Part III discusses Knowledge Representation in applications such as question answering; the semantic web; automated planning; cognitive robotics; multi-agent systems; and knowledge engineering. This book is an essential resource for graduate students, researchers, and practitioners in knowledge representation and AI. * Make your computer smarter* Handle qualitative and uncertain information* Improve computational tractability to solve your problems easily

Extremism

Extremism PDF Author: J. M. Berger
Publisher: MIT Press
ISBN: 0262535874
Category : Social Science
Languages : en
Pages : 218

Book Description
What extremism is, how extremist ideologies are constructed, and why extremism can escalate into violence. A rising tide of extremist movements threaten to destabilize civil societies around the globe. It has never been more important to understand extremism, yet the dictionary definition—a logical starting point in a search for understanding—tells us only that extremism is “the quality or state of being extreme.” In this volume in the MIT Press Essential Knowledge series, J. M. Berger offers a nuanced introduction to extremist movements, explaining what extremism is, how extremist ideologies are constructed, and why extremism can escalate into violence. Berger shows that although the ideological content of extremist movements varies widely, there are common structural elements. Berger, an expert on extremist movements and terrorism, explains that extremism arises from a perception of “us versus them,” intensified by the conviction that the success of “us” is inseparable from hostile acts against “them.” Extremism differs from ordinary unpleasantness—run-of-the-mill hatred and racism—by its sweeping rationalization of an insistence on violence. Berger illustrates his argument with case studies and examples from around the world and throughout history, from the destruction of Carthage by the Romans—often called “the first genocide”—to the apocalyptic jihadism of Al Qaeda, America's new “alt-right,” and the anti-Semitic conspiracy tract The Protocols of the Elders of Zion. He describes the evolution of identity movements, individual and group radicalization, and more. If we understand the causes of extremism, and the common elements of extremist movements, Berger says, we will be more effective in countering it.

Machine Learning

Machine Learning PDF Author: Ethem Alpaydin
Publisher: MIT Press
ISBN: 0262529513
Category : Computers
Languages : en
Pages : 225

Book Description
A concise overview of machine learning—computer programs that learn from data—which underlies applications that include recommendation systems, face recognition, and driverless cars. Today, machine learning underlies a range of applications we use every day, from product recommendations to voice recognition—as well as some we don't yet use everyday, including driverless cars. It is the basis of the new approach in computing where we do not write programs but collect data; the idea is to learn the algorithms for the tasks automatically from data. As computing devices grow more ubiquitous, a larger part of our lives and work is recorded digitally, and as “Big Data” has gotten bigger, the theory of machine learning—the foundation of efforts to process that data into knowledge—has also advanced. In this book, machine learning expert Ethem Alpaydin offers a concise overview of the subject for the general reader, describing its evolution, explaining important learning algorithms, and presenting example applications. Alpaydin offers an account of how digital technology advanced from number-crunching mainframes to mobile devices, putting today's machine learning boom in context. He describes the basics of machine learning and some applications; the use of machine learning algorithms for pattern recognition; artificial neural networks inspired by the human brain; algorithms that learn associations between instances, with such applications as customer segmentation and learning recommendations; and reinforcement learning, when an autonomous agent learns act so as to maximize reward and minimize penalty. Alpaydin then considers some future directions for machine learning and the new field of “data science,” and discusses the ethical and legal implications for data privacy and security.