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? 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.
"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
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.
Author: John Nagle
Publisher: Icon Books
Release Date: 2016-11-03
Genre: Social Science
Sociology is interested in the ways people shape the society they live in, and the ways society shapes them. Simply, it is the study of what modern society is and how it functions. In the series’ inimitable style, Introducing Sociology traces the origins of sociology from industrialization, revolution and the Enlightenment through to globalization, neoliberalism and the fear of nationalism – introducing you to key thinkers, movements and concepts along the way. You will develop insight into the world around you, as you engage your ‘sociological imagination’ and explore studies of the city, theories of power and knowledge, concepts of national, racial and sexual identity, and much more.
Our knowledge comes primarily from experience – what our senses tell us. But is experience really what it seems? The experimental breakthroughs in 17th-century science of Kepler, Galileo and Newton informed the great British empiricist tradition, which accepts a ‘common-sense’ view of the world – and yet concludes that all we can ever know are ‘ideas’. Dave Robinson, with the aid of Bill Mayblin’s brilliant illustrations, outlines the arguments of Locke, Berkeley, Hume, J.S. Mill, Bertrand Russell and the last British empiricist, A.J. Ayer. They also explore criticisms of empiricism in the work of Kant, Wittgenstein, Karl Popper and others, providing a unique overview of this compelling area of philosophy.
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.
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.
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.
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.
Artificial Intelligence (AI) and Machine Learning are now mainstream business tools. They are being applied across many industries to increase profits, reduce costs, save lives and improve customer experiences. Consequently, organisations which understand these tools and know how to use them are benefiting at the expense of their rivals. Artificial Intelligence and Machine Learning for Business cuts through the technical jargon that is often associated with these subjects. It delivers a simple and concise introduction for managers and business people. The focus is very much on practical application, and how to work with technical specialists (data scientists) to maximise the benefits of these technologies.
In the chapters in Part I of this textbook the author introduces the fundamental ideas of artificial intelligence and computational intelligence. In Part II he explains key AI methods such as search, evolutionary computing, logic-based reasoning, knowledge representation, rule-based systems, pattern recognition, neural networks, and cognitive architectures. Finally, in Part III, he expands the context to discuss theories of intelligence in philosophy and psychology, key applications of AI systems, and the likely future of artificial intelligence. A key feature of the author's approach is historical and biographical footnotes, stressing the multidisciplinary character of the field and its pioneers. The book is appropriate for advanced undergraduate and graduate courses in computer science, engineering, and other applied sciences, and the appendices offer short formal, mathematical models and notes to support the reader.
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.
One of the biggest-selling titles in the Introducing series, J.P. McEvoy and Oscar Zarate's utterly brilliant Introducing Quantum Theory explores one of the most challenging, thrilling and mysterious areas of science. Taking the reader on a step-by-step tour, they tackle the puzzle of the wave-particle duality, Schr�dinger's 'dead and alive cat', the EPR paradox and much more, explaining this notoriously difficult theory with patience, wit and clarity.It is now more than a century since Einstein's theories of Special and General Relativity began to revolutionise our view of the universe. Beginning near the speed of light and proceeding to explorations of space-time and curved spaces, Introducing Relativity plots a visually accessible course through the thought experiments that have given shape to contemporary physics. This is a superlative, fascinating graphic account of Einstein's strange world and how his legacy has been built upon since.If a butterfly flaps its wingsin Brazil, does it cause a tornado in Texas? Described as 'a beautifully succinct primer ... most recommended' by Time Out, Ziauddin Sardar and Iwona Abrams' Introducing Chaos attempts to answer bafflingly difficult questions like this. Explaining how chaos makes its presence felt in events from the fluctuation of the animal population to the ups and downs of the stock market, the book offers a uniquely approachable introduction to an astonishing and controversial theory.