An Introduction To Artificial Intelligence

Neural Networks and Pattern Recognition in Human-computer Interaction

Russell Beale, Janet Finlay

Provides an introduction to the use of pattern recognition in HCI and demonstrates its use in the identification of patterns in user behaviour for: user modelling, plan recognition, interface evaluation; the utilization of novel input mechanisms including speech, handwriting and posture; information retrieval; models of cognition; novel classification methods.

Your End of the Lead

Changing how You Think and Act to Help Your Reactive Dog

Janet Finlay

Living with a dog is supposed to be fun, right? But when your dog is reactive, walks can be a nightmare - filled with the stress of trying to avoid other dogs or people. And many of the things you planned to do with your dog - family days out, doggy sports, relaxing holidays - are out of the question altogether. You tense up when you see someone coming. It only makes things worse, but it is hard not to when you know how your dog is going to behave. You are embarrassed and desperate. You feel like such a failure and just want it to stop.Reactivity is hard to live with but when we think of it as just a dog issue - that our dog has a problem behaviour that we have to modify - we are missing half of the story. To make real progress, we also need to transform ourselves. Your End of the Lead is a ground-breaking book, which will show you how to shape your thinking and adjust what you do so that you can be successful in helping your dog. Taking a holistic approach and bringing together ideas from a diverse range of disciplines, Janet Finlay offers practical ways to change your mindset, so that you can really enjoy life with your dog again while helping you to develop the skillset you need to make real progress in resolving your dog's reactivity. With the help of this book, you can start to become the confident, resilient, mindful guardian for your dog that you have always wanted to be.Dr Janet Finlay is a Tellington TTouch Instructor, accredited dog trainer and qualified coach for people. At Canine Confidence, Janet specialises in working with the guardians of reactive dogs, using a holistic approach that goes beyond training and addresses the problem of reactivity from both ends of the lead. Janet teaches internationally and runs a number of successful online programmes, which have helped hundreds of guardians and their dogs change their lives for the better.

Artificial Intelligence

A Modern Approach

Stuart Jonathan Russell, Peter Norvig, Ernest Davis

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.

On Intelligence

Jeff Hawkins, Sandra Blakeslee

From the inventor of the PalmPilot comes a new and compelling theory of intelligence, brain function, and the future of intelligent machines. Written with acclaimed science writer Blakeslee, this text promises to transfigure the possibilities of the technology age.

Architects of Intelligence

The Truth about AI from the People Building it

Martin Ford

Financial Times Best Books of the Year 2018 TechRepublic Top Books Every Techie Should Read Book Description How will AI evolve and what major innovations are on the horizon? What will its impact be on the job market, economy, and society? What is the path toward human-level machine intelligence? What should we be concerned about as artificial intelligence advances? Architects of Intelligence contains a series of in-depth, one-to-one interviews where New York Times bestselling author, Martin Ford, uncovers the truth behind these questions from some of the brightest minds in the Artificial Intelligence community. Martin has wide-ranging conversations with twenty-three of the world's foremost researchers and entrepreneurs working in AI and robotics: Demis Hassabis (DeepMind), Ray Kurzweil (Google), Geoffrey Hinton (Univ. of Toronto and Google), Rodney Brooks (Rethink Robotics), Yann LeCun (Facebook) , Fei-Fei Li (Stanford and Google), Yoshua Bengio (Univ. of Montreal), Andrew Ng (AI Fund), Daphne Koller (Stanford), Stuart Russell (UC Berkeley), Nick Bostrom (Univ. of Oxford), Barbara Grosz (Harvard), David Ferrucci (Elemental Cognition), James Manyika (McKinsey), Judea Pearl (UCLA), Josh Tenenbaum (MIT), Rana el Kaliouby (Affectiva), Daniela Rus (MIT), Jeff Dean (Google), Cynthia Breazeal (MIT), Oren Etzioni (Allen Institute for AI), Gary Marcus (NYU), and Bryan Johnson (Kernel). Martin Ford is a prominent futurist, and author of Financial Times Business Book of the Year, Rise of the Robots. He speaks at conferences and companies around the world on what AI and automation might mean for the future. Meet the minds behind the AI superpowers as they discuss the science, business and ethics of modern artificial intelligence. Read James Manyika's thoughts on AI analytics, Geoffrey Hinton's breakthroughs in AI programming and development, and Rana el Kaliouby's insights into AI marketing. This AI book collects the opinions of the luminaries of the AI business, such as Stuart Russell (coauthor of the leading AI textbook), Rodney Brooks (a leader in AI robotics), Demis Hassabis (chess prodigy and mind behind AlphaGo), and Yoshua Bengio (leader in deep learning) to complete your AI education and give you an AI advantage in 2019 and the future.

Giants of Computing

A Compendium of Select, Pivotal Pioneers

Gerard O’Regan

It has been upon the shoulders of giants that the modern world has been forged. This accessible compendium presents an insight into the great minds responsible for the technology which has transformed our lives. Each pioneer is introduced with a brief biography, followed by a concise account of their key contributions to their discipline. The selection covers a broad spread of historical and contemporary figures from theoreticians to entrepreneurs, highlighting the richness of the field of computing. Suitable for the general reader, this concise and easy-to-read reference will be of interest to anyone curious about the inspiring men and women who have shaped the field of computer science.

Nexus

A Brief History of Information Networks from the Stone Age to AI

Yuval Noah Harari

#1 NEW YORK TIMES BESTSELLER • From the author of Sapiens comes the groundbreaking story of how information networks have made, and unmade, our world. “Strikingly original . . . A historian whose arguments operate on the scale of millennia has managed to capture the zeitgeist perfectly.”—The Economist “This deeply important book comes at a critical time as we all think through the implications of AI and automated content production. . . . Masterful and provocative.”—Mustafa Suleyman, author of The Coming Wave For the last 100,000 years, we Sapiens have accumulated enormous power. But despite all our discoveries, inventions, and conquests, we now find ourselves in an existential crisis. The world is on the verge of ecological collapse. Misinformation abounds. And we are rushing headlong into the age of AI—a new information network that threatens to annihilate us. For all that we have accomplished, why are we so self-destructive? Nexus looks through the long lens of human history to consider how the flow of information has shaped us, and our world. Taking us from the Stone Age, through the canonization of the Bible, early modern witch-hunts, Stalinism, Nazism, and the resurgence of populism today, Yuval Noah Harari asks us to consider the complex relationship between information and truth, bureaucracy and mythology, wisdom and power. He explores how different societies and political systems throughout history have wielded information to achieve their goals, for good and ill. And he addresses the urgent choices we face as non-human intelligence threatens our very existence. Information is not the raw material of truth; neither is it a mere weapon. Nexus explores the hopeful middle ground between these extremes, and in doing so, rediscovers our shared humanity.

The Singularity Is Near

When Humans Transcend Biology

Ray Kurzweil

NEW YORK TIMES BESTSELLER • Celebrated futurist Ray Kurzweil, hailed by Bill Gates as “the best person I know at predicting the future of artificial intelligence,” presents an “elaborate, smart, and persuasive” (The Boston Globe) view of the future course of human development. “Artfully envisions a breathtakingly better world.”—Los Angeles Times “Startling in scope and bravado.”—Janet Maslin, The New York Times “An important book.”—The Philadelphia Inquirer At the onset of the twenty-first century, humanity stands on the verge of the most transforming and thrilling period in its history. It will be an era in which the very nature of what it means to be human will be both enriched and challenged as our species breaks the shackles of its genetic legacy and achieves inconceivable heights of intelligence, material progress, and longevity. While the social and philosophical ramifications of these changes will be profound, and the threats they pose considerable, The Singularity Is Near presents a radical and optimistic view of the coming age that is both a dramatic culmination of centuries of technological ingenuity and a genuinely inspiring vision of our ultimate destiny.

An Introduction to Artificial Intelligence

Can Computers Think?

Richard Bellman

Description unavailable for this volume in the current provider response.

Introduction to Artificial Intelligence

Philip C. Jackson

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Introduction to Artificial Intelligence

Wolfgang Ertel

This accessible and engaging textbook presents a concise introduction to the exciting field of artificial intelligence (AI). The broad-ranging discussion covers the key subdisciplines within the field, describing practical algorithms and concrete applications in the areas of agents, logic, search, reasoning under uncertainty, machine learning, neural networks, and reinforcement learning. Fully revised and updated, this much-anticipated second edition also includes new material on deep learning. Topics and features: presents an application-focused and hands-on approach to learning, with supplementary teaching resources provided at an associated website; contains numerous study exercises and solutions, highlighted examples, definitions, theorems, and illustrative cartoons; includes chapters on predicate logic, PROLOG, heuristic search, probabilistic reasoning, machine learning and data mining, neural networks and reinforcement learning; reports on developments in deep learning, including applications of neural networks to generate creative content such as text, music and art (NEW); examines performance evaluation of clustering algorithms, and presents two practical examples explaining Bayes’ theorem and its relevance in everyday life (NEW); discusses search algorithms, analyzing the cycle check, explaining route planning for car navigation systems, and introducing Monte Carlo Tree Search (NEW); includes a section in the introduction on AI and society, discussing the implications of AI on topics such as employment and transportation (NEW). Ideal for foundation courses or modules on AI, this easy-to-read textbook offers an excellent overview of the field for students of computer science and other technical disciplines, requiring no more than a high-school level of knowledge of mathematics to understand the material.

A Beginner's Guide to Introduce Artificial Intelligence in Teaching and Learning

Muralidhar Kurni, Mujeeb Shaik Mohammed, Srinivasa K G

This book reimagines education in today’s Artificial Intelligence (AI) world and the Fourth Industrial Revolution. Artificial intelligence will drastically affect every industry and sector, and education is no exception. This book aims at how AI may impact the teaching and learning process in education. This book is designed to demystify AI for teachers and learners. This book will help improve education and support institutions in the phenomena of the emergence of AI in teaching and learning. This book presents a comprehensive study of how AI improves teaching and learning, from AI-based learning platforms to AI-assisted proctored examinations. This book provides educators, learners, and administrators on how AI makes sense in their everyday practice. Describing the application of AI in ten key aspects, this comprehensive volume prepares educational leaders, designers, researchers, and policymakers to effectively rethink the teaching and learning process and environments that students need to thrive. The readers of this book never fall behind the fast pace and promising innovations of today’s most advanced learning technology.

Artificial Intelligence for Computer Games

An Introduction

John David Funge

Learn to make games that are more fun and engaging! Building on fundamental principles of Artificial Intelligence, Funge explains how to create Non-Player Characters (NPCs) with progressively more sophisticated capabilities. Starting with the basic capability of acting in the game world, the book explains how to develop NPCs who can perceive, remember what they perceive, and then continue in the game play to think about the effects of possible actions, and finally learn from their experience. Funge considers the system architecture and explains how to implement potential behaviors (both reactive and deliberate) for intelligent and responsive NPCs allowing for games that are more fun and engaging. Emphasizing enduring design principles, Funge covers the basics of Game AI and provides a clear, easy to read introduction that beginning programmers and game designers will enjoy.

Machine Learning for Kids

A Project-Based Introduction to Artificial Intelligence

Dale Lane

A hands-on, application-based introduction to machine learning and artificial intelligence (AI). Create compelling AI-powered games and applications using the Scratch programming language. AI Made Easy with 13 Projects Machine learning (also known as ML) is one of the building blocks of AI, or artificial intelligence. AI is based on the idea that computers can learn on their own, with your help. Machine Learning for Kids will introduce you to machine learning, painlessly. With this book and its free, Scratch-based companion website, you’ll see how easy it is to add machine learning to your own projects. You don’t even need to know how to code! Step by easy step, you’ll discover how machine learning systems can be taught to recognize text, images, numbers, and sounds, and how to train your models to improve them. You’ll turn your models into 13 fun computer games and apps, including: A Rock, Paper, Scissors game that recognizes your hand shapes A computer character that reacts to insults and compliments An interactive virtual assistant (like Siri or Alexa) A movie recommendation app An AI version of Pac-Man There’s no experience required and step-by-step instructions make sure that anyone can follow along! No Experience Necessary! Ages 12+