Understanding Artificial Intelligence
- Length: 160 pages
- Edition: 1
- Language: English
- Publisher: Routledge
- Publication Date: 2020-12-10
- ISBN-10: 036752435X
- ISBN-13: 9780367524357
- Sales Rank: #6450693 (See Top 100 Books)
Artificial Intelligence (AI) fascinates, challenges and disturbs us. There are many voices in society that predict drastic changes that may come as a consequence of AI – a possible apocalypse or Eden on earth. However, only a few people truly understand what AI is, what it can do and what its limitations are.
Understanding Artificial Intelligence explains, through a straightforward narrative and amusing illustrations, how AI works. It is written for a non-specialist reader, adult or adolescent, who is interested in AI but is missing the key to understanding how it works. The author demystifies the creation of the so-called “intelligent” machine and explains the different methods that are used in AI. It presents new possibilities offered by algorithms and the difficulties that researchers, engineers and users face when building and using such algorithms. Each chapter allows the reader to discover a new aspect of AI and to become fully aware of the possibilities offered by this rich field.
Cover Half Title Title Page Copyright Page Dedication Contents Introduction 1 What is Artificial Intelligence? Understanding What a Computer, an Algorithm, a Program, and, in Particular, an Artificial Intelligence Program Are Computer Science and Computers Computers and Algorithms Algorithms and Computer Science The All-Purpose Machine Programs That Make Programs And Where Does Artificial Intelligence Fit in All This? A Machine That Learns? Obey, I Say! Attention: One Program Can Conceal Another! So, What Is AI? Reference 2 The Turing Test: Understanding That It Is Difficult to Measure the Intelligence of Computers What Is Intelligence? A Test, But Which One? And Then There Was Turing! It Chats… A Chatbot Named Eliza It’s Controversial Too! My Computer and I Are Not Alike! 3 Why Is It So Difficult? Understanding There Are Limitations to What a Machine Can Calculate Limitations of Computers A Real Headache Counting Operations This Is Getting Complex Squaring the Circle? 4 Lost in the Woods: Understanding a First Principles of AI Method – Exploration A Small Walk in Paris How A GPS Works Finding the Path It Is More Difficult Than It Looks The Adventurers of the Lost Graph So Easy! It’s A Win-Win Computer Science in Three Questions A Clever Algorithm AI is Here! A Head in the Stars The Best Is the Enemy of the Good Roughly Speaking, It’s That Way! Follow the Crows There’s a Trick! 5 Winning at Chess: Understanding How to Build Heuristics A Short History of AI A New Challenge An Old Algorithm From Theory to Practice Another Limit to Computers? Checkmate, von Neumann! The Return of Minimax A Heuristic to Win at Chess Easier Said Than Done A Disappointing Victory 6 The Journey Continues: Understanding That One Graph Can Conceal Another On the Intelligence of Machines A Very Particular Traveler A Healthy Walk A Really Difficult Problem… The Greedy Algorithm At Least, It’s Fast! Come on, We Can Do Better! The Solution Space One Graph Can Conceal Another! Space Exploration 7 Darwin 2.0: Understanding How to Explore Space as a Group Natural Selection Computing Herds You’ve Got to Start Somewhere Two Beautiful Children! A Little More Randomness So, What Is This Good For? This Doesn’t Solve Everything, However 8 Small but Strong: Understanding How Ants Find Their Way Multi-Agent Systems The Algorithm and the Ant Just Like in the Ant Colony Calculating a Path with Ants The More The Merrier! The Solution Emerges The Solution to All Our Problems? 9 A Bit of Tidying Up: Understanding How a Machine Learns to Classify Find the Odd One Out! From Animals to Genes Let’s Do Some Sorting It’s All a Matter of Distance Starting Over Again and Again There Is No Right Solution To Each Its Own Method So, Where’s the Learning in All This? Joy and Good Humor! 10 Taking an AI by the Hand: Understanding That a Good Example Is Often Better Than a Long Explanation Ask the Program! From Data to Programs An Example Is Better Than a Long Explanation The Adventure Begins Much Ado about Nothing? From Image to Data How about We Take the Train? It’s Logic! Tell Me What You Read, and I’ll Tell You Who You Are From Symbolic to Numeric 11 Learning to Count: Understanding What Statistical Learning Is New and Old Alike? Riddle Me This Trees Again A Bit of Prediction Lots of Examples, Lots of Variables Too Much, It’s Too Much! The Kitties Return The Mathematics of Artificial Intelligence Too Much Class! Keep Straight The SVM Strikes Back Intelligent, Did You Say Intelligent? Careful, Don’t Swallow the Kernel! 12 Learning to Read: Understanding What a Neural Network Is Draw Me a Neuron More Triangles Just a Little Fine Tuning A Long Learning Process Where Did My Brain Go? One More Layer! Network Success One More Small Break 13 Learning as You Draw: Understanding What Deep Learning Is Are Video Games Bad for Your Health? Parallel Computing The Return of the Neural Networks Why Add More? The Crux of the Problem The Achievements of Deep Learning Watch Out for Tricks! To Each His Own Method 14 Winning at Go: Understanding What Reinforcement Learning Is The Quest for the Grail A Bit of Calculation Want to Play Again? Red, Odd, and Low! No Need to Be Stubborn A Bit of Reinforcement Stronger Than Ever! Step by Step Playing Without Risk Give Me The Data! 15 Strong AI: Understanding AI’s Limitations Strong AI General Intelligence Artificial Consciousness An Uncertain Future How Far Can We Go? 16 Is There Cause for Concern? Understanding That AI Can Be Misused Autonomous Systems? Misuse of AI AI Serving People Explaining, Always Explaining 17 To Infinity and Beyond!: Understanding That AI Has Good Days Ahead Where Are We Going? Doing Like Humans? Even More AI! Acknowledgments They Made AI
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