Understanding artificial intelligence / Nicolas Sabouret ; illustrations by Lizete De Assis.

Format:

Book

Author/Creator:

Sabouret, Nicolas, author.

Contributor:

Taylor & Francis eBooks.

Language:

English

Subjects (All):

Artificial intelligence.

Physical Description:

1 online resource

polychrome

Place of Publication:

Boca Raton : CRC Press, 2021.

System Details:

text file

Contents:

1 What is Artificial Intelligence? Understanding What a Computer, an Algorithm, a Program, and, in Particular, an Artificial Intelligence Program Are p. 3

Computer Science and Computers p. 4

Computers and Algorithms p. 4

Algorithms and Computer Science p. 5

The All-Purpose Machine p. 6

Programs That Make Programs p. 7

And Where Does Artificial Intelligence Fit in All This? p. 7

A Machine That Learns? p. 8

Obey, I Say! p. 9

Attention: One Program Can Conceal Another! p. 10

So, What is Al? p. 10

2 The Turing Test: Understanding That It Is Difficult to Measure the Intelligence of Computers p. 13

What Is Intelligence? p. 13

A Test, But Which One? p. 15

And Then There Was Turing! p. 16

It Chats... p. 17

A Chatbot Named Eliza p. 17

It's Controversial Too! p. 19

My Computer and I Are Not Alike! p. 20

3 Why Is It So Difficult? Understanding There Are Limitations to What a Machine Can Calculate p. 23

Limitations of Computers p. 24

A Real Headache p. 24

Counting Operations p. 26

This Is Getting Complex p. 27

Squaring the Circle? p. 28

4 Lost in the Woods: Understanding a First Principles of Al Method - Exploration p. 29

A Small Walk in Paris p. 29

How A GPS Works p. 30

Finding the Path p. 31

It Is More Difficult Than It Looks p. 32

The Adventurers of the Lost Graph p. 33

So Easy! p. 33

It's A Win-Win p. 34

Computer Science in Three Questions p. 35

A Clever Algorithm p. 36

Al is Here! p. 36

A Head in the Stars p. 37

The Best Is the Enemy of the Good p. 37

Roughly Speaking, It's That Way! p. 37

Follow the Crows p. 38

There's a Trick! p. 39

5 Winning at Chess: Understanding How to Build Heuristics p. 41

A Short History of Al p. 41

A New Challenge p. 44

An Old Algorithm p. 44

From Theory to Practice p. 46

Another Limit to Computers? p. 48

Checkmate, von Neumann! p. 48

The Return of Minimax p. 49

A Heuristic to Win at Chess p. 50

Easier Said Than Done p. 50

A Disappointing Victory p. 51

6 The Journey Continues: Understanding That One Graph Can Conceal Another p. 53

On the Intelligence of Machines p. 53

A Very Particular Traveler p. 54

A Healthy Walk p. 54

A Really Difficult Problem... p. 55

The Greedy Algorithm p. 55

At Least, It's Fast! p. 56

Come on, We Can Do Better! p. 57

The Solution Space p. 58

One Graph Can Conceal Another! p. 59

Space Exploration p. 59

7 Darwin 2.0: Understanding How to Explore Space as a Group p. 61

Natural Selection p. 61

Computing Herds p. 62

You've Got to Start Somewhere p. 63

Two Beautiful Children! p. 64

A Little More Randomness p. 66

So, What Is This Good For? p. 67

This Doesn't Solve Everything, However p. 68

8 Small but Strong: Understanding How Ants Find Their Way p. 69

Multi-Agent Systems p. 69

The Algorithm and the Ant p. 70

Just Like in the Ant Colony p. 71

Calculating a Path with Ants p. 72

The More The Merrier! p. 73

The Solution Emerges p. 74

The Solution to All Our Problems? p. 75

9 A Bit of Tidying Up: Understanding How a Machine Learns to Classify p. 77

Find the Odd One Out! p. 77

From Animals to Genes p. 78

Let's Do Some Sorting p. 79

It's All a Matter of Distance p. 80

Starting Over Again and Again p. 81

There Is No Right Solution p. 83

To Each Its Own Method p. 83

So, Where's the Learning in All This? p. 84

Joy and Good Humor! p. 84

10 Taking an Al by the Hand: Understanding That a Good Example Is Often Better Than a Long Explanation p. 87

Ask the Program! p. 87

From Data to Programs p. 88

An Example Is Better Than a Long Explanation p. 89

The Adventure Begins p. 90

Much Ado about Nothing? p. 91

From Image to Data p. 92

How about We Take the Train? p. 92

It's Logic! p. 93

Tell Me What You Read, and I'll Tell You Who You Are p. 94

From Symbolic to Numeric p. 95

11 Learning to Count: Understanding What Statistical Learning Is p. 97

New and Old Alike? p. 97

Riddle Me This p. 98

Trees Again p. 98

A Bit of Prediction p. 99

Lots of Examples, Lots of Variables p. 101

Too Much, It's Too Much! p. 101

The Kitties Return p. 102

The Mathematics of Artificial Intelligence p. 103

Too Much Class! p. 105

Keep Straight p. 106

The SVM Strikes Back p. 107

Intelligent, Did You Say Intelligent? p. 107

Careful, Don't Swallow the Kernel! p. 108

12 Learning to Read: Understanding What a Neural Network Is p. 111

Draw Me a Neuron p. 111

More Triangles p. 113

Just a Little Fine Tuning p. 114

A Long Learning Process p. 114

Where Did My Brain Go? p. 116

One More Layer! p. 117

Network Success p. 117

One More Small Break p. 118

13 Learning as You Draw: Understanding What Deep Learning Is p. 119

Are Video Games Bad for Your Health? p. 119

Parallel Computing p. 120

The Return of the Neural Networks p. 121

Why Add More? p. 121

The Crux of the Problem p. 122

The Achievements of Deep Learning p. 123

Watch Out for Tricks! p. 124

To Each His Own Method p. 125

14 Winning at Go: Understanding What Reinforcement Learning Is p. 127

The Quest for the Grail p. 127

A Bit of Calculation p. 128

Want to Play Again? p. 129

Red, Odd, and Low! p. 130

No Need to Be Stubborn p. 130

A Bit of Reinforcement p. 131

Stronger Than Ever! p. 132

Step by Step p. 132

Playing Without Risk p. 134

Give Me The Data! p. 134

15 Strong Al: Understanding Al's Limitations p. 137

Strong Al p. 137

General Intelligence p. 138

Artificial Consciousness p. 140

An Uncertain Future p. 140

How Far Can We Go? p. 141

16 Is There Cause for Concern? Understanding That AI Can Be Misused p. 143

Autonomous Systems? p. 143

Misuse of Al p. 144

Al Serving People p. 145

Explaining, Always Explaining p. 146

17 To Infinity and Beyond!: Understanding That Al Has Good Days Ahead p. 147

Doing Like Humans? p. 148.

Notes:

Electronic reproduction. London Available via World Wide Web.

Online resource ; title from PDF title page (EBSCO ; viewed December 17, 2020)

ISBN:

9781000284256

1000284255

9781000284157

1000284158

Publisher Number:

40030284668

Access Restriction:

Restricted for use by site license.