Half a century of research has resulted in machines capable of beating the best human chess players and humanoid robots that can interact. But can machines really think? Is the mind just a complicated computer program? "Introducing Artificial Intelligence" focuses on the issues behind one of science's most difficult problems.
"Can machines really think? Is the mind just a complicated computer program? Introducing Artificial Intelligence focuses on the major issues behind one of the hardest scientific problems ever undertaken." "Artificial Intelligence is not just a fictional concept. Half a century of research into the construction of intelligent machinery has resulted in machines capable of beating the best human chess players and humanoid robots that can walk and interact with us." "Despite early claims that intelligent machines were just around the corner, progress has been slow and difficult. Consciousness and environment are two of the deeply complex problems encountered. How exactly should we go about building an intelligent machine? Should it work like a mind? Should it work like a brain? Does it require a body?"--BOOK JACKET.Title Summary field provided by Blackwell North America, Inc. All Rights Reserved
Can machines really think? Is the mind just a complicated computer program? This book focuses on the major issues behind one of the hardest scientific problems ever undertaken, from Alan Turing's influential groundwork to cutting-edge robotics and the new AI.
When should you adopt an aggressive business strategy? How do we make decisions when we don’t have all the information? What makes international environmental cooperation possible? Game theory is the study of how we make a decision when the outcome of our moves depends on the decisions of someone else. Economists Ivan and Tuvana Pastine explain why, in these situations, we sometimes cooperate, sometimes clash, and sometimes act in a way that seems completely random. Stylishly brought to life by award-winning cartoonist Tom Humberstone, Game Theory will help readers understand behaviour in everything from our social lives to business, global politics to evolutionary biology. It provides a thrilling new perspective on the world we live in.
From the medicine we take, the treatments we receive, the aptitude and psychometric tests given by employers, the cars we drive, the clothes we wear to even the beer we drink, statistics have given shape to the world we inhabit. For the media, statistics are routinely 'damning', 'horrifying', or, occasionally, 'encouraging'. Yet, for all their ubiquity, most of us really don't know what to make of statistics. Exploring the history, mathematics, philosophy and practical use of statistics, Eileen Magnello - accompanied by Bill Mayblin's intelligent graphic illustration - traces the rise of statistics from the ancient Babylonians, Egyptians and Chinese, to the censuses of Romans and the Greeks, and the modern emergence of the term itself in Europe. She explores the 'vital statistics' of, in particular, William Farr, and the mathematical statistics of Karl Pearson and R.A. Fisher.She even tells how knowledge of statistics can prolong one's life, as it did for evolutionary biologist Stephen Jay Gould, given eight months to live after a cancer diagnoses in 1982 - and he lived until 2002. This title offers an enjoyable, surprise-filled tour through a subject that is both fascinating and crucial to understanding our world.
'if AI is outside your field, or you know something of the subject and would like to know more then Artificial Intelligence: The Basics is a brilliant primer.' - Nick Smith, Engineering and Technology Magazine November 2011 Artificial Intelligence: The Basics is a concise and cutting-edge introduction to the fast moving world of AI. The author Kevin Warwick, a pioneer in the field, examines issues of what it means to be man or machine and looks at advances in robotics which have blurred the boundaries. Topics covered include: how intelligence can be defined whether machines can 'think' sensory input in machine systems the nature of consciousness the controversial culturing of human neurons. Exploring issues at the heart of the subject, this book is suitable for anyone interested in AI, and provides an illuminating and accessible introduction to this fascinating subject.
Author: Peter Pugh
Publisher: Icon Books Ltd
Release Date: 2014-12-01
Genre: Business & Economics
As we find ourselves at the cusp of an economic downturn, there has been a clear reinvigoration of Keynesian economics as governments are attempting to stimulate the market through public funds. Forming his economic theories in the wake of the Great Depression, John Maynard Keynes argued that a healthy economy depended on the total spending of consumers, business investors and, most importantly, governments too. Keynes formulated that governments should take control of the economy in the short term, rather than relying on the market, because, as he eloquently put it 'in the long run, we are all dead'. This graphic guide is the ideal introduction to one of the most influential economists of the 20th century, at a time when his theories may be crucial to our economic survival. Through a deft mixture of words and images, "Introducing Keynes" is a timely, accessible and enjoyable read.
Author: Philip C. Jackson
Publisher: Courier Corporation
Release Date: 2013-02-19
Comprehensive survey of artificial intelligence — the study of how computers can be made to act intelligently. Includes introductory and advanced material. Extensive notes updating the main text. 132 illustrations.
Author: Jerry Kaplan
Publisher: Oxford University Press
Release Date: 2016-09-01
Over the coming decades, Artificial Intelligence will profoundly impact the way we live, work, wage war, play, seek a mate, educate our young, and care for our elderly. It is likely to greatly increase our aggregate wealth, but it will also upend our labor markets, reshuffle our social order, and strain our private and public institutions. Eventually it may alter how we see our place in the universe, as machines pursue goals independent of their creators and outperform us in domains previously believed to be the sole dominion of humans. Whether we regard them as conscious or unwitting, revere them as a new form of life or dismiss them as mere clever appliances, is beside the point. They are likely to play an increasingly critical and intimate role in many aspects of our lives. The emergence of systems capable of independent reasoning and action raises serious questions about just whose interests they are permitted to serve, and what limits our society should place on their creation and use. Deep ethical questions that have bedeviled philosophers for ages will suddenly arrive on the steps of our courthouses. Can a machine be held accountable for its actions? Should intelligent systems enjoy independent rights and responsibilities, or are they simple property? Who should be held responsible when a self-driving car kills a pedestrian? Can your personal robot hold your place in line, or be compelled to testify against you? If it turns out to be possible to upload your mind into a machine, is that still you? The answers may surprise you.
Linguist Noam Chomsky maintains that the human brain has an innate language faculty, and that part of this biological endowment is a 'universal grammar', a theory of principles common to all languages. Thus, all human languages and the ways in which children learn them are remarkably similar.Chomsky's book Syntactic Structures was a turning-point in 20th-century linguistics, challenging assumptions in many areas such as philosophy, psychology and intellectual history. Heir to the Enlightenment tradition, Chomsky has introduced new perspectives on language, the creative individual and the nature of human freedom in society.Introducing Chomsky traces Chomsky's understanding of the cognitive realities involved in the use of language, and the technical apparatus needed to represent it. The book also describes Chomsky's radical critique of the institutions of power and the pathways of oppression, and his commitment to freedom and justice.
Build real-world Artificial Intelligence applications with Python to intelligently interact with the world around you About This Book Step into the amazing world of intelligent apps using this comprehensive guide Enter the world of Artificial Intelligence, explore it, and create your own applications Work through simple yet insightful examples that will get you up and running with Artificial Intelligence in no time Who This Book Is For This book is for Python developers who want to build real-world Artificial Intelligence applications. This book is friendly to Python beginners, but being familiar with Python would be useful to play around with the code. It will also be useful for experienced Python programmers who are looking to use Artificial Intelligence techniques in their existing technology stacks. What You Will Learn Realize different classification and regression techniques Understand the concept of clustering and how to use it to automatically segment data See how to build an intelligent recommender system Understand logic programming and how to use it Build automatic speech recognition systems Understand the basics of heuristic search and genetic programming Develop games using Artificial Intelligence Learn how reinforcement learning works Discover how to build intelligent applications centered on images, text, and time series data See how to use deep learning algorithms and build applications based on it In Detail Artificial Intelligence is becoming increasingly relevant in the modern world where everything is driven by technology and data. It is used extensively across many fields such as search engines, image recognition, robotics, finance, and so on. We will explore various real-world scenarios in this book and you'll learn about various algorithms that can be used to build Artificial Intelligence applications. During the course of this book, you will find out how to make informed decisions about what algorithms to use in a given context. Starting from the basics of Artificial Intelligence, you will learn how to develop various building blocks using different data mining techniques. You will see how to implement different algorithms to get the best possible results, and will understand how to apply them to real-world scenarios. If you want to add an intelligence layer to any application that's based on images, text, stock market, or some other form of data, this exciting book on Artificial Intelligence will definitely be your guide! Style and approach This highly practical book will show you how to implement Artificial Intelligence. The book provides multiple examples enabling you to create smart applications to meet the needs of your organization. In every chapter, we explain an algorithm, implement it, and then build a smart application.
Compact INTRODUCING guide to the influential philosopher, sociologist and economist. INTRODUCING MARX - A GRAPHIC GUIDE explores the life of the most famous Socialist figure, from his early years to meeting Engels in1842. It provides a readable, understandable biography of Karl Marx as well as a fundamental account of his original philosophy, its roots in 19th century European ideology, his radical economic and social criticism of capitalism that inspired vast 20th century revolutions.
What do scientists actually do? Is science "value-free"? How has science evolved through history? Where is science leading us? "Introducing Philosophy of Science" is a clear and incisively illustrated map of the big questions underpinning science. It is essential reading for students, the general public, and even scientists themselves.
Author: Donald J. Norris
Release Date: 2017-06-05
Gain a gentle introduction to the world of Artificial Intelligence (AI) using the Raspberry Pi as the computing platform. Most of the major AI topics will be explored, including expert systems, machine learning both shallow and deep, fuzzy logic control, and more! AI in action will be demonstrated using the Python language on the Raspberry Pi. The Prolog language will also be introduced and used to demonstrate fundamental AI concepts. In addition, the Wolfram language will be used as part of the deep machine learning demonstrations. A series of projects will walk you through how to implement AI concepts with the Raspberry Pi. Minimal expense is needed for the projects as only a few sensors and actuators will be required. Beginners and hobbyists can jump right in to creating AI projects with the Raspberry PI using this book. What You'll Learn What AI is and—as importantly—what it is not Inference and expert systems Machine learning both shallow and deep Fuzzy logic and how to apply to an actual control system When AI might be appropriate to include in a system Constraints and limitations of the Raspberry Pi AI implementation Who This Book Is For Hobbyists, makers, engineers involved in designing autonomous systems and wanting to gain an education in fundamental AI concepts, and non-technical readers who want to understand what AI is and how it might affect their lives.