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Artificial Intelligence
Artificial Intelligence,A Modern Approach
Artificial intelligence: A Modern Approach, 3e,is ideal for one or two-semester, undergraduate or graduate-level courses in Artificial Intelligence. It is also a valuable resource for computer professionals, linguists, and cognitive scientists interested in artificial intelligence. The revision of this best-selling text offers the most comprehensive, up-to-date introduction to the theory and practice of artificial intelligence.
by Stuart Jonathan Russell
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Unity AI Programming Essentials
Unity AI Programming Essentials,
This book is aimed at developers who know the basics of game development with Unity and want to learn how to add AI to their games. You do not need any previous AI knowledge; this book will explain all the essential AI concepts and show you how to add and use them in your games.
by Curtis Bennett
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Artificial Intelligence: Exercises II
Artificial Intelligence: Exercises II,

by
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Game AI Pro
Game AI Pro,Collected Wisdom of Game AI Professionals
Successful games merge art and technology in truly unique ways. Fused under tight production deadlines and strict performance requirements, shaped by demanding player expectations, games are among the most complex software projects created today. Game AI Pro: Collected Wisdom of Game AI Professionals covers both the art and the technology of game AI. Nothing covered is theory or guesswork. The book brings together the accumulated wisdom, cutting-edge ideas, and clever tricks and techniques of 54 of today’s top game AI professionals. Some chapters present techniques that have been developed and passed down within the community for years while others discuss the most exciting new research and ideas from today’s most innovative games. The book includes core algorithms that you’ll need to succeed, such as behavior trees, utility theory, spatial representation, path planning, motion control, and tactical reasoning. It also describes tricks and techniques that will truly bring your game to life, including perception systems, social modeling, smart camera systems, player prediction, and even an AI sound designer. Throughout, the book discusses the optimizations and performance enhancements that enable your game to run while maintaining 60 frames per second.
by Steven Rabin
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Adobe Illustrator CC Classroom in a Book (2014 release)
Adobe Illustrator CC Classroom in a Book (2014 release),
The fastest, easiest, most comprehensive way to learn Adobe® Illustrator® (2014 release) Classroom in a Book, the best-selling series of hands-on software training workbooks, offers what no other book or training program does—an official training series from Adobe Systems Incorporated, developed with the support of Adobe product experts. Adobe Illustrator Classroom in a Book contains lessons that cover the basics, providing countless tips and techniques to help you become more productive with the program. You can follow the book from start to finish or choose only those lessons that interest you. In addition to teaching the key elements of the Illustrator interface, this completely revised edition covers the new Live rectangle and rounded rectangle functionality, preview a path as you draw with the Pen tool, new workflow for dealing with missing Typekit fonts, anchor point enhancements like repositioning the closing anchor point as you draw, and much more. Purchasing this book gives you access to the downloadable lesson files you need to work through the projects in the book, and to electronic book updates covering new features that Adobe releases for Creative Cloud customers. For access, goto www.peachpit.com/redeem and redeem the unique code provided inside this book. “The Classroom in a Book series is by far the best training material on the market. Everything you need to master the software is included: clear explanations of each lesson, step-by-step instructions, and the project files for the students.” Barbara Binder, Adobe Certified Instructor Rocky Mountain Training
by Brian Wood
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Women in Love
Women in Love,Top Novelist Focus
INDEX CHAPTER I. SISTERS CHAPTER II. SHORTLANDS CHAPTER III. CLASS-ROOM CHAPTER IV. DIVER CHAPTER V. IN THE TRAIN CHAPTER VI. CREME DE MENTHE CHAPTER VII. FETISH CHAPTER VIII. BREADALBY CHAPTER IX. COAL-DUST CHAPTER X. SKETCH-BOOK CHAPTER XI. AN ISLAND CHAPTER XII. CARPETING CHAPTER XIII. MINO CHAPTER XIV. WATER-PARTY CHAPTER XV. SUNDAY EVENING CHAPTER XVI. MAN TO MAN CHAPTER XVII. THE INDUSTRIAL MAGNATE CHAPTER XVIII. RABBIT CHAPTER XIX. MOONY CHAPTER XX. GLADIATORIAL CHAPTER XXI. THRESHOLD CHAPTER XXII. WOMAN TO WOMAN CHAPTER XXIII. EXCURSE CHAPTER XXIV. DEATH AND LOVE CHAPTER XXV. MARRIAGE OR NOT CHAPTER XXVI. A CHAIR CHAPTER XXVII. FLITTING CHAPTER XXVIII. GUDRUN IN THE POMPADOUR CHAPTER XXIX. CONTINENTAL CHAPTER XXX. SNOWED UP CHAPTER XXXI. EXEUNT
by D. H. Lawrence
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Artificial Intelligence
Artificial Intelligence,A New Synthesis
This new book, by one of the most respected researchers in Artificial Intelligence, features a radical new 'evolutionary' organization that begins with low level intelligent behavior and develops complex intelligence as the book progresses.
by Nils J. Nilsson
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Universal Artificial Intelligence
Universal Artificial Intelligence,Sequential Decisions Based on Algorithmic Probability
Personal motivation. The dream of creating artificial devices that reach or outperform human inteUigence is an old one. It is also one of the dreams of my youth, which have never left me. What makes this challenge so interesting? A solution would have enormous implications on our society, and there are reasons to believe that the AI problem can be solved in my expected lifetime. So, it's worth sticking to it for a lifetime, even if it takes 30 years or so to reap the benefits. The AI problem. The science of artificial intelligence (AI) may be defined as the construction of intelligent systems and their analysis. A natural definition of a system is anything that has an input and an output stream. Intelligence is more complicated. It can have many faces like creativity, solving prob lems, pattern recognition, classification, learning, induction, deduction, build ing analogies, optimization, surviving in an environment, language processing, and knowledge. A formal definition incorporating every aspect of intelligence, however, seems difficult. Most, if not all known facets of intelligence can be formulated as goal driven or, more precisely, as maximizing some utility func tion. It is, therefore, sufficient to study goal-driven AI; e. g. the (biological) goal of animals and humans is to survive and spread. The goal of AI systems should be to be useful to humans.
by Marcus Hutter
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Introduction to Artificial Intelligence
Introduction to Artificial Intelligence,
This concise and accessible textbook supports a foundation or module course on A.I., covering a broad selection of the subdisciplines within this field. The book presents concrete algorithms and applications in the areas of agents, logic, search, reasoning under uncertainty, machine learning, neural networks and reinforcement learning. Topics and features: presents an application-focused and hands-on approach to learning the subject; provides study exercises of varying degrees of difficulty at the end of each chapter, with solutions given at the end of the book; supports the text with highlighted examples, definitions, and theorems; includes chapters on predicate logic, PROLOG, heuristic search, probabilistic reasoning, machine learning and data mining, neural networks and reinforcement learning; contains an extensive bibliography for deeper reading on further topics; supplies additional teaching resources, including lecture slides and training data for learning algorithms, at an associated website.
by Nathanael T. Black
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Philosophy and Theory of Artificial Intelligence
Philosophy and Theory of Artificial Intelligence,
Can we make machines that think and act like humans or other natural intelligent agents? The answer to this question depends on how we see ourselves and how we see the machines in question. Classical AI and cognitive science had claimed that cognition is computation, and can thus be reproduced on other computing machines, possibly surpassing the abilities of human intelligence. This consensus has now come under threat and the agenda for the philosophy and theory of AI must be set anew, re-defining the relation between AI and Cognitive Science. We can re-claim the original vision of general AI from the technical AI disciplines; we can reject classical cognitive science and replace it with a new theory (e.g. embodied); or we can try to find new ways to approach AI, for example from neuroscience or from systems theory. To do this, we must go back to the basic questions on computing, cognition and ethics for AI. The 30 papers in this volume provide cutting-edge work from leading researchers that define where we stand and where we should go from here.
by Vincent C. Müller
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