The Thinking Computer
| Author | : Bertram Raphael |
| Publisher | : |
| Total Pages | : 322 |
| Release | : 1976 |
| Genre | : Artificial intelligence |
| ISBN | : 9780716707332 |
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Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download The Thinking Computer PDF full book. Access full book title The Thinking Computer.
Parsing the Turing Test
| Author | : Robert Epstein |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 520 |
| Release | : 2008-12-01 |
| Genre | : Computers |
| ISBN | : 1402096240 |
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An exhaustive work that represents a landmark exploration of both the philosophical and methodological issues surrounding the search for true artificial intelligence. Distinguished psychologists, computer scientists, philosophers, and programmers from around the world debate weighty issues such as whether a self-conscious computer would create an internet ‘world mind’. This hugely important volume explores nothing less than the future of the human race itself.
Ada Byron Lovelace and the Thinking Machine
| Author | : Laurie Wallmark |
| Publisher | : |
| Total Pages | : 23 |
| Release | : 2015 |
| Genre | : Computer scientists |
| ISBN | : 1939547202 |
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Offers an illustrated telling of the story of Ada Byron Lovelace, from her early creative fascination with mathematics and science and her devastating bout with measles, to the ground-breaking algorithm she wrote for Charles Babbage's analytical engine.
Computational Thinking: A Perspective on Computer Science
| Author | : Zhiwei Xu |
| Publisher | : Springer Nature |
| Total Pages | : 338 |
| Release | : 2022-01-01 |
| Genre | : Computers |
| ISBN | : 9811638489 |
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This textbook is intended as a textbook for one-semester, introductory computer science courses aimed at undergraduate students from all disciplines. Self-contained and with no prerequisites, it focuses on elementary knowledge and thinking models. The content has been tested in university classrooms for over six years, and has been used in summer schools to train university and high-school teachers on teaching introductory computer science courses using computational thinking. This book introduces computer science from a computational thinking perspective. In computer science the way of thinking is characterized by three external and eight internal features, including automatic execution, bit-accuracy and abstraction. The book is divided into chapters on logic thinking, algorithmic thinking, systems thinking, and network thinking. It also covers societal impact and responsible computing material – from ICT industry to digital economy, from the wonder of exponentiation to wonder of cyberspace, and from code of conduct to best practices for independent work. The book’s structure encourages active, hands-on learning using the pedagogic tool Bloom's taxonomy to create computational solutions to over 200 problems of varying difficulty. Students solve problems using a combination of thought experiment, programming, and written methods. Only 300 lines of code in total are required to solve most programming problems in this book.
Computational Thinking
| Author | : Peter J. Denning |
| Publisher | : MIT Press |
| Total Pages | : 266 |
| Release | : 2019-05-14 |
| Genre | : Computers |
| ISBN | : 0262536560 |
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An introduction to computational thinking that traces a genealogy beginning centuries before the digital computer. A few decades into the digital era, scientists discovered that thinking in terms of computation made possible an entirely new way of organizing scientific investigation; eventually, every field had a computational branch: computational physics, computational biology, computational sociology. More recently, “computational thinking” has become part of the K–12 curriculum. But what is computational thinking? This volume in the MIT Press Essential Knowledge series offers an accessible overview, tracing a genealogy that begins centuries before digital computers and portraying computational thinking as pioneers of computing have described it. The authors explain that computational thinking (CT) is not a set of concepts for programming; it is a way of thinking that is honed through practice: the mental skills for designing computations to do jobs for us, and for explaining and interpreting the world as a complex of information processes. Mathematically trained experts (known as “computers”) who performed complex calculations as teams engaged in CT long before electronic computers. The authors identify six dimensions of today's highly developed CT—methods, machines, computing education, software engineering, computational science, and design—and cover each in a chapter. Along the way, they debunk inflated claims for CT and computation while making clear the power of CT in all its complexity and multiplicity.
Thinking Like a Computer
| Author | : George Towner |
| Publisher | : Austin Macauley |
| Total Pages | : 180 |
| Release | : 2020-09-30 |
| Genre | : |
| ISBN | : 9781645759263 |
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Thinking Like a Computer is the result of a detailed 30-year study of how computers imitate life. Although they are machines, computers are designed to act like human beings. Software is specifically created to help accomplish human-like tasks and to be understood in human terms. Yet unlike human life, computer operations can be analyzed in detail because we build the machines that accomplish them and we know the design decisions that make them work. With every choice made during the evolution of digital technology, computer architects have intuitively or consciously incorporated truths of human functioning into their designs. Thinking Like a Computer is based on these truths, assembling them into a new explanation of human knowledge. In addition, it provides insights into the foundations of theoretical science because much of digital technology is dedicated to creating new realities.
HT THINK LIKE A COMPUTER SCIEN
| Author | : Jeffrey Elkner |
| Publisher | : Samurai Media Limited |
| Total Pages | : 306 |
| Release | : 2016-10-04 |
| Genre | : Computers |
| ISBN | : 9789888406784 |
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The goal of this book is to teach you to think like a computer scientist. This way of thinking combines some of the best features of mathematics, engineering, and natural science. Like mathematicians, computer scientists use formal languages to denote ideas (specifically computations). Like engineers, they design things, assembling components into systems and evaluating tradeoffs among alternatives. Like scientists, they observe the behavior of complex systems, form hypotheses, and test predictions. The single most important skill for a computer scientist is problem solving. Problem solving means the ability to formulate problems, think creatively about solutions, and express a solution clearly and accurately. As it turns out, the process of learning to program is an excellent opportunity to practice problem-solving skills. That's why this chapter is called, The way of the program. On one level, you will be learning to program, a useful skill by itself. On another level, you will use programming as a means to an end. As we go along, that end will become clearer.
Thinking Machines and the Philosophy of Computer Science
| Author | : Jordi Vallverdú |
| Publisher | : IGI Global |
| Total Pages | : 461 |
| Release | : 2010-01-01 |
| Genre | : Computers |
| ISBN | : 1616920157 |
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"This book offers a high interdisciplinary exchange of ideas pertaining to the philosophy of computer science, from philosophical and mathematical logic to epistemology, engineering, ethics or neuroscience experts and outlines new problems that arise with new tools"--Provided by publisher.
Essential Computational Thinking
| Author | : Ricky J. Sethi |
| Publisher | : Cognella Academic Publishing |
| Total Pages | : 328 |
| Release | : 2020-06-17 |
| Genre | : Computers |
| ISBN | : 1516583213 |
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Essential Computational Thinking: Computer Science from Scratch helps students build a theoretical and practical foundation for learning computer science. Rooted in fundamental science, this text defines elementary ideas including data and information, quantifies these ideas mathematically, and, through key concepts in physics and computation, demonstrates the relationship between computer science and the universe itself. In Part I, students explore the theoretical underpinnings of computer science in a wide-ranging manner. Readers receive a robust overview of essential computational theories and programming ideas, as well as topics that examine the mathematical and physical foundations of computer science. Part 2 presents the basics of computation and underscores programming as an invaluable tool in the discipline. Students can apply their newfound knowledge and begin writing substantial programs immediately. Finally, Part 3 explores more sophisticated computational ideas, including object-oriented programing, databases, data science, and some of the underlying principles of machine learning. Essential Computational Thinking is an ideal text for a firmly technical CS0 course in computer science. It is also a valuable resource for highly-motivated non-computer science majors at the undergraduate or graduate level who are interested in learning more about the discipline for either professional or personal development.
Thinking as Computation
| Author | : Hector J. Levesque |
| Publisher | : MIT Press |
| Total Pages | : 323 |
| Release | : 2012-01-06 |
| Genre | : Computers |
| ISBN | : 0262300648 |
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Students explore the idea that thinking is a form of computation by learning to write simple computer programs for tasks that require thought. This book guides students through an exploration of the idea that thinking might be understood as a form of computation. Students make the connection between thinking and computing by learning to write computer programs for a variety of tasks that require thought, including solving puzzles, understanding natural language, recognizing objects in visual scenes, planning courses of action, and playing strategic games. The material is presented with minimal technicalities and is accessible to undergraduate students with no specialized knowledge or technical background beyond high school mathematics. Students use Prolog (without having to learn algorithms: “Prolog without tears!”), learning to express what they need as a Prolog program and letting Prolog search for answers. After an introduction to the basic concepts, Thinking as Computation offers three chapters on Prolog, covering back-chaining, programs and queries, and how to write the sorts of Prolog programs used in the book. The book follows this with case studies of tasks that appear to require thought, then looks beyond Prolog to consider learning, explaining, and propositional reasoning. Most of the chapters conclude with short bibliographic notes and exercises. The book is based on a popular course at the University of Toronto and can be used in a variety of classroom contexts, by students ranging from first-year liberal arts undergraduates to more technically advanced computer science students.
