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Book Go and Go Moku

    Book Details:
  • Author : Edward Lasker
  • Publisher : Courier Corporation
  • Release : 2012-09-11
  • ISBN : 048614304X
  • Pages : 258 pages

Download or read book Go and Go Moku written by Edward Lasker and published by Courier Corporation. This book was released on 2012-09-11 with total page 258 pages. Available in PDF, EPUB and Kindle. Book excerpt: Best introduction in English to a great Japanese game. Detailed instructions provide valuable information on basic patterns, strategy, tactics, analyzed games. Used as text by generations of Americans, Japanese. 72 diagrams.

Book Current Topics in Cybernetics and Systems

Download or read book Current Topics in Cybernetics and Systems written by J. Rose and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 403 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a record of the contents of the papers accepted by the Congress Committee for presentation at the Fourth International Congress of Cybernetics and Systems (Amsterdam, The Netherlands, 21-25 August 1978). Two hundred and forty-five papers from authors from thirty-three countries of all the five continents are included. The papers are presented in an abridged form in order to highlight the main themes and produce a book that is both readable and relatively inexpensive. It was felt that after the publication of the weighty and rather costly form of the Proceedings of the Third International Congress of Cybernetics and Systems held in Bucharest, Romania in 1975 (Modern Trends in Cybernetics and Systems, eds. Rose and Bilciu, W. O. G. S. c. and Springer-Verlag, 1977; 3 volumes about 3500 pages; $150), an abridged but comprehen sive version would be more acceptable to readers. It is worth noting that the full names and addresses of authors are given for each paper, and requests to authors for more information and even full-scale papers would produce a positive response. As a matter of interest, each paper carries, in addition, brief summaries. The papers are arranged in each section or symposium in the alphabetical order of authors' names; this is not necessarily the order of presentation at the Congress.

Book Machines that Learn to Play Games

Download or read book Machines that Learn to Play Games written by Johannes Fürnkranz and published by Nova Publishers. This book was released on 2001 with total page 318 pages. Available in PDF, EPUB and Kindle. Book excerpt: The mind-set that has dominated the history of computer game playing relies on straightforward exploitation of the available computing power. The fact that a machine can explore millions of variations sooner than the sluggish human can wink an eye has inspired hopes that the mystery of intelligence can be cracked, or at least side-stepped, by sheer force. Decades of the steadily growing strength of computer programs have attested to the soundness of this approach. It is clear that deeper understanding can cut the amount of necessary calculations by orders of magnitude. The papers collected in this volume describe how to instill learning skills in game playing machines. The reader is asked to keep in mind that this is not just about games -- the possibility that the discussed techniques will be used in control systems and in decision support always looms in the background.

Book Research in Education

Download or read book Research in Education written by and published by . This book was released on 1972 with total page 872 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Deep Reinforcement Learning

Download or read book Deep Reinforcement Learning written by Hao Dong and published by Springer Nature. This book was released on 2020-06-29 with total page 526 pages. Available in PDF, EPUB and Kindle. Book excerpt: Deep reinforcement learning (DRL) is the combination of reinforcement learning (RL) and deep learning. It has been able to solve a wide range of complex decision-making tasks that were previously out of reach for a machine, and famously contributed to the success of AlphaGo. Furthermore, it opens up numerous new applications in domains such as healthcare, robotics, smart grids and finance. Divided into three main parts, this book provides a comprehensive and self-contained introduction to DRL. The first part introduces the foundations of deep learning, reinforcement learning (RL) and widely used deep RL methods and discusses their implementation. The second part covers selected DRL research topics, which are useful for those wanting to specialize in DRL research. To help readers gain a deep understanding of DRL and quickly apply the techniques in practice, the third part presents mass applications, such as the intelligent transportation system and learning to run, with detailed explanations. The book is intended for computer science students, both undergraduate and postgraduate, who would like to learn DRL from scratch, practice its implementation, and explore the research topics. It also appeals to engineers and practitioners who do not have strong machine learning background, but want to quickly understand how DRL works and use the techniques in their applications.

Book Artificial Neural Networks  2

Download or read book Artificial Neural Networks 2 written by I. Aleksander and published by Elsevier. This book was released on 2014-06-28 with total page 879 pages. Available in PDF, EPUB and Kindle. Book excerpt: This two-volume proceedings compilation is a selection of research papers presented at the ICANN-92. The scope of the volumes is interdisciplinary, ranging from the minutiae of VLSI hardware, to new discoveries in neurobiology, through to the workings of the human mind. USA and European research is well represented, including not only new thoughts from old masters but also a large number of first-time authors who are ensuring the continued development of the field.

Book Encyclopedia of Computer Science and Technology

Download or read book Encyclopedia of Computer Science and Technology written by Jack Belzer and published by CRC Press. This book was released on 1977-09-01 with total page 520 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This comprehensive reference work provides immediate, fingertip access to state-of-the-art technology in nearly 700 self-contained articles written by over 900 international authorities. Each article in the Encyclopedia features current developments and trends in computers, software, vendors, and applications...extensive bibliographies of leading figures in the field, such as Samuel Alexander, John von Neumann, and Norbert Wiener...and in-depth analysis of future directions."

Book Resources in Education

Download or read book Resources in Education written by and published by . This book was released on 1972-10 with total page 774 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Deep Learning and the Game of Go

Download or read book Deep Learning and the Game of Go written by Kevin Ferguson and published by Simon and Schuster. This book was released on 2019-01-06 with total page 611 pages. Available in PDF, EPUB and Kindle. Book excerpt: Summary Deep Learning and the Game of Go teaches you how to apply the power of deep learning to complex reasoning tasks by building a Go-playing AI. After exposing you to the foundations of machine and deep learning, you'll use Python to build a bot and then teach it the rules of the game. Foreword by Thore Graepel, DeepMind Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology The ancient strategy game of Go is an incredible case study for AI. In 2016, a deep learning-based system shocked the Go world by defeating a world champion. Shortly after that, the upgraded AlphaGo Zero crushed the original bot by using deep reinforcement learning to master the game. Now, you can learn those same deep learning techniques by building your own Go bot! About the Book Deep Learning and the Game of Go introduces deep learning by teaching you to build a Go-winning bot. As you progress, you'll apply increasingly complex training techniques and strategies using the Python deep learning library Keras. You'll enjoy watching your bot master the game of Go, and along the way, you'll discover how to apply your new deep learning skills to a wide range of other scenarios! What's inside Build and teach a self-improving game AI Enhance classical game AI systems with deep learning Implement neural networks for deep learning About the Reader All you need are basic Python skills and high school-level math. No deep learning experience required. About the Author Max Pumperla and Kevin Ferguson are experienced deep learning specialists skilled in distributed systems and data science. Together, Max and Kevin built the open source bot BetaGo. Table of Contents PART 1 - FOUNDATIONS Toward deep learning: a machine-learning introduction Go as a machine-learning problem Implementing your first Go bot PART 2 - MACHINE LEARNING AND GAME AI Playing games with tree search Getting started with neural networks Designing a neural network for Go data Learning from data: a deep-learning bot Deploying bots in the wild Learning by practice: reinforcement learning Reinforcement learning with policy gradients Reinforcement learning with value methods Reinforcement learning with actor-critic methods PART 3 - GREATER THAN THE SUM OF ITS PARTS AlphaGo: Bringing it all together AlphaGo Zero: Integrating tree search with reinforcement learning

Book Learning GNU Emacs

    Book Details:
  • Author : Debra Cameron
  • Publisher : "O'Reilly Media, Inc."
  • Release : 2004-12-13
  • ISBN : 0596552378
  • Pages : 538 pages

Download or read book Learning GNU Emacs written by Debra Cameron and published by "O'Reilly Media, Inc.". This book was released on 2004-12-13 with total page 538 pages. Available in PDF, EPUB and Kindle. Book excerpt: GNU Emacs is the most popular and widespread of the Emacs family of editors. It is also the most powerful and flexible. Unlike all other text editors, GNU Emacs is a complete working environment--you can stay within Emacs all day without leaving. Learning GNU Emacs, 3rd Edition tells readers how to get started with the GNU Emacs editor. It is a thorough guide that will also "grow" with you: as you become more proficient, this book will help you learn how to use Emacs more effectively. It takes you from basic Emacs usage (simple text editing) to moderately complicated customization and programming.The third edition of Learning GNU Emacs describes Emacs 21.3 from the ground up, including new user interface features such as an icon-based toolbar and an interactive interface to Emacs customization. A new chapter details how to install and run Emacs on Mac OS X, Windows, and Linux, including tips for using Emacs effectively on those platforms.Learning GNU Emacs, third edition, covers: How to edit files with Emacs Using the operating system shell through Emacs How to use multiple buffers, windows, and frames Customizing Emacs interactively and through startup files Writing macros to circumvent repetitious tasks Emacs as a programming environment for Java, C++, and Perl, among others Using Emacs as an integrated development environment (IDE) Integrating Emacs with CVS, Subversion and other change control systems for projects with multiple developers Writing HTML, XHTML, and XML with Emacs The basics of Emacs Lisp The book is aimed at new Emacs users, whether or not they are programmers. Also useful for readers switching from other Emacs implementations to GNU Emacs.

Book Theoretical Approaches to Non Numerical Problem Solving

Download or read book Theoretical Approaches to Non Numerical Problem Solving written by R. B. Banerji and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 477 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advances in computer technology have pointed out the next important area of computer applications: solution of non-numerical problems. It is hardly necessary to emphasize the importance of these kind of problems. First of all most of the decisions one has to make in real-life situations are non-numerical in the first instance and can be represented as numerical problems only as approximations which are often only partially valid. Second, to use the computer to its full potential it should be employed as a logical machine, capable of deduction, and not just as a numerical calculating machine. Thus the computer would extend man's capability for logical reasoning and not just for his capability to do fast and accurate calculation. It is not a new area; indeed non-numerical problems are central in fields such as artificial intelligence, heuristic programming, pattern recognition, classification and information-processing (and retrival) etc. However, it is fair to assess that progress in the area has not been quite as expected. One of the reasons was a lack of conceptual and theoretical framework in which to investigate different classes of non-numerical problems to improve understanding of various types of problems and methods for their solutions and furthermore to enable the methods which have been proven as effective in one situation to be used in another situation with appropriately similar structure.

Book The First 20 Hours

    Book Details:
  • Author : Josh Kaufman
  • Publisher : Penguin
  • Release : 2014-05-27
  • ISBN : 1591846943
  • Pages : 289 pages

Download or read book The First 20 Hours written by Josh Kaufman and published by Penguin. This book was released on 2014-05-27 with total page 289 pages. Available in PDF, EPUB and Kindle. Book excerpt: What if it’s possible to learn the basics of any new skill in 20 hours or less? Research suggests it takes 10,000 hours to master a new skill, and the earliest hours are always the most frustrating. That’s why it’s so difficult to learn a new language, play an instrument, hit a golf ball, or shoot great photos. Josh Kaufman offers a better way. His systematic approach to rapid skill acquisition shows you how to deconstruct complex skills, maximize productive practice, and remove common learning barriers. By completing just 20 hours of focused, deliberate practice you can pick up the basics in record time… and have more fun along the way.

Book Computer Games I

    Book Details:
  • Author : David N.L. Levy
  • Publisher : Springer Science & Business Media
  • Release : 2012-12-06
  • ISBN : 1461387167
  • Pages : 460 pages

Download or read book Computer Games I written by David N.L. Levy and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 460 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computer Games I is the first volume in a two part compendium of papers covering the most important material available on the development of computer strategy games. These selections range from discussions of mathematical analyses of games, to more qualitative concerns of whether a computer game should follow human thought processes rather than a "brute force" approach, to papers which will benefit readers trying to program their own games. Contributions include selections from the major players in the development of computer games: Claude Shannon whose work still forms the foundation of most contemporary chess programs, Edward O. Thorpe whose invention of the card counting method caused Las Vegas casinos to change their blackjack rules, and Hans Berliner whose work has been fundamental to the development of backgammon and chess games.

Book PRICAI 2018  Trends in Artificial Intelligence

Download or read book PRICAI 2018 Trends in Artificial Intelligence written by Xin Geng and published by Springer. This book was released on 2018-07-30 with total page 551 pages. Available in PDF, EPUB and Kindle. Book excerpt: This two-volume set, LNAI 11012 and 11013, constitutes the thoroughly refereed proceedings of the 15th Pacific Rim Conference on Artificial Intelligence, PRICAI 2018, held in Nanjing, China, in August 2018. The 82 full papers and 58 short papers presented in these volumes were carefully reviewed and selected from 382 submissions. PRICAI covers a wide range of topics such as AI theories, technologies and their applications in the areas of social and economic importance for countries in the Pacific Rim.

Book Readings in Machine Learning

Download or read book Readings in Machine Learning written by Jude W. Shavlik and published by Morgan Kaufmann. This book was released on 1990 with total page 868 pages. Available in PDF, EPUB and Kindle. Book excerpt: The ability to learn is a fundamental characteristic of intelligent behavior. Consequently, machine learning has been a focus of artificial intelligence since the beginnings of AI in the 1950s. The 1980s saw tremendous growth in the field, and this growth promises to continue with valuable contributions to science, engineering, and business. Readings in Machine Learning collects the best of the published machine learning literature, including papers that address a wide range of learning tasks, and that introduce a variety of techniques for giving machines the ability to learn. The editors, in cooperation with a group of expert referees, have chosen important papers that empirically study, theoretically analyze, or psychologically justify machine learning algorithms. The papers are grouped into a dozen categories, each of which is introduced by the editors.

Book Readings in Cognitive Science

Download or read book Readings in Cognitive Science written by Allan Collins and published by Elsevier. This book was released on 2013-10-02 with total page 673 pages. Available in PDF, EPUB and Kindle. Book excerpt: Readings in Cognitive Science: A Perspective from Psychology and Artificial Intelligence brings together important studies that fall in the intersection between artificial intelligence and cognitive psychology. This book is composed of six chapters, and begins with the complex anatomy and physiology of the human brain. The next chapters deal with the components of cognitive science, such as the semantic memory, similarity and analogy, and learning. These chapters also consider the application of mental models, which represent the domain-specific knowledge needed to understand a dynamic system or natural physical phenomena. The remaining chapters discuss the concept of reasoning, problem solving, planning, vision, and imagery. This book is of value to psychologists, psychiatrists, neurologists, and researchers who are interested in cognition.