본문 바로가기 주메뉴 바로가기
22대 대한민국 국회 국회정보길라잡이 국회의원검색
회원가입 로그인
HOME

정보검색

소장정보 검색

국회도서관 홈으로 정보검색 소장정보 검색
결과 내 검색 동의어 포함
결과 내 검색 동의어 포함

-

목차보기


List of Illustrations xiii

Preface xvii

Introduction xxi

I Understanding Creativity 1

1 What Makes Us Creative? 5

Einstein, Bach, Picasso: What Makes These People Special? 7

2 Seven Hallmarks of Creativity and Two Marks of Genius 9

1 The Need for Introspection 9

2 Know Your Strengths 9

3 Focus, Persevere, and Don't Be Afraid to Make Mistakes 10

4 Collaborate and Compete 11

5 Beg, Borrow, or Steal Great Ideas 13

6 Thrive on Ambiguity 15

7 The Need for Experience and Suffering 16

The Two Marks of Genius 19

Intent, Imagination, and Unpredictability 23

3 Margaret Boden's Three Types of Creativity 25

4 Unconscious Thought: The Key Ingredient 29

The Four Stages of Creativity 30

The Importance of Taking Time off 31

Unconscious Thought and Computers 35

5 The Birth of Artificial Intelligence 37

The First Inklings of Computer Creativity 40

Computers That Mimic the Brain 42

6 Games Computers Play 45

Deep Blue Defeats Garry Kasparov 45

IBM Watson Becomes Jeopardy! Champion 48

AlphaGo Defeats the Reigning World Go Champion 50

II Portrait of the Computer as an Artist 55

7 DeepDream: How Alexander Mordvintsev Excavated the Computer's Hidden Layers 59

Mike Tyka Takes the Dream Deeper 66

8 Blaise Aguera y Areas Brings Together Artists and Machine Intelligence 71

Memo Akten Educates a Neural Network 74

9 What Came after DeepDream? 77

Damien Henry and a Machine That Dreams a Landscape 77

Mario Klingemann and His X Degrees of Separation 78

Angelo Semeraro's Recognition: Intertwining Past and Present 81

Leon Gatys's Style Transfer: Photography "In the Style Of" 83

10 Ian Goodfellow's Generative Adversarial Networks: Al Learns to Imagine 87

Mike Tyka's Portraits of Imaginary People 90

Refik Anadol Creates a Dreaming Archive 92

Theresa Reimann-Dubbers's AI Looks at the Messiah 94

Jake Elwes's Dreams of Latent Space 96

11 Phillip Isola's Pix2Pix: Filling in the Picture 99

Mario Klingemann Changes Faces with Pix2Pix 101

Anna Ridlei's Fall of the House of Usher 104

12 Jun-Yan Zhu's CycleGAN Turns Horses into Zebras 107

Mario Klingemann Plays with CycleGAN 110

13 Ahmed Elgammal's Creative Adversarial Networks 113

14 "But Is It Art?": GANs Enter the Art Market 119

15 Simon Colton's The Painting Fool 123

16 Hod Lipson and Patrick Tresset's Artist Robots 129

III Machines That Make Music: Putting the "Rhythm" into "Algorithm" 133

17 Project Magenta: Al Creates Its Own Music 137

18 From WaveNet and NSynth to Coconet: Adventures in Music Making 145

WaveNet: From Voice to Music 145

NSynth-Creating Sounds Never Heard Before 146

Coconet: Filling in the Gaps 147

19 Francois Pachet and His Computers That Improvise and Compose Songs 149

The Flow Machine 150

20 Gil Weinberg and Mason Bretan and Their Robot Jazz Band 155

21 David Cope Makes Music That Is "More Bach than Bach" 163

22 "The Drunken Pint" and Other Folk Music Composed by Bob Sturm and Oded Ben-Tal's Al 169

23 Rebecca Fiebrink Uses Movement to Generate Sound 175

24 Marwaread Mary Farbood Sketches Music 179

25 Eduardo Miranda and His Improvising Slime Mold 183

IV Once Upon a Time: Computers That Weave Magic with Words 187

26 The Pinocchio Effect 191

27 The Final Frontier: Computers with a Sense of Humor 193

28 Al and Poetry 201

Pablo Gervas and His Poetic Algorithms 201

29 Rafael Perez y Perez and the Problems of Creating Rounded Stories 205

30 Nick Montfort Makes Poetry with Pi 211

31 Allison Parrish Sends Probes into Semantic Space 217

32 Ross Goodwin and the First Al-Scripted Movie 225

33 Sarah Harmon Uses Al to Create Illuminating Metaphors 231

34 Tony Veale and His Metaphor- and Story-Generating Programs 235

35 Hannah Davis Turns Words into Music 241

36 Simon Colton's Poetic Fool 245

V Staged by Android Lloyd Webber and Friends 249

37 The World's First Computer-Composed Musical: Beyond the Fence 253

VI Can Computers Be Creative? 259

38 A Glimpse of the Future? 263

Creativity in Humans and Machines 265

39 What Goes On in the Computer's Brain? 267

Jason Yosinski and the Puzzle of What Machines See 267

Mark Riedl on Teaching Neural Networks to Communicate 269

40 What Drives Creativity? 271

Margaret Boden and Computer Creativity 272

41 Evaluating Creativity in Computers 275

Geraint Wiggins and the Mind's Chorus 276

Graeme Ritchie's Mathematical Criteria for Measuring the Creativity of a Computer Program 277

Anna Jordanous's Fourteen Components of Creativity 279

42 Computers with Feelings 281

Rosalind Picard on Developing Machines That Feel 282

Machines Gaining Experience of the World 284

Machines That Suffer 286

43 The Question of Consciousness 289

John Searle's Chinese Room and the Question of Whether Computers Can Actually Think 290

Reducing Consciousness to the Sum of Its Parts 291

44 Michael Graziano: Developing Conscious Computers 295

Awareness and Attention 296

Self-Awareness, Introspection, and Perseverance in Computers 298

Giving Computers Consciousness 299

45 Two Dissenting Voices 301

Douglas Hofstadter and the Horrors of a Future Controlled by Creative Machines 301

Pat Langley and Machines That Work More like People 304

46 Can We Apply the Hallmarks of Creativity to Computers? 307

The Need to Know Your Strengths 307

The Need to Beg, Borrow, or Steal Great Ideas, and the Need for Collaboration and Competition 307

The Need to Focus and Not Be Afraid to Make Mistakes 308

The Need to Thrive on Ambiguity and the Need for Experience and Suffering 308

The Ability to Discover the Key Problem and to Spot Connections 308

47 The Future 311

Where We Are Now 311

Where We Are Going 312

And into the Future… 312

Acknowledgments 315

Illustration Credits 317

Notes 319

Bibliography 347

Index 369

이용현황보기

The artist in the machine : the world of AI-powered creativity 이용현황 표 - 등록번호, 청구기호, 권별정보, 자료실, 이용여부로 구성 되어있습니다.
등록번호 청구기호 권별정보 자료실 이용여부
0002602506 776 -A20-1 서울관 서고(열람신청 후 1층 대출대) 이용가능

출판사 책소개

알라딘제공
An authority on creativity introduces us to AI-powered computers that are creating art, literature, and music that may well surpass the creations of humans.

Today's computers are composing music that sounds “more Bach than Bach,” turning photographs into paintings in the style of Van Gogh's Starry Night, and even writing screenplays. But are computers truly creative—or are they merely tools to be used by musicians, artists, and writers? In this book, Arthur I. Miller takes us on a tour of creativity in the age of machines. 

Miller, an authority on creativity, identifies the key factors essential to the creative process, from “the need for introspection” to “the ability to discover the key problem.” He talks to people on the cutting edge of artificial intelligence, encountering computers that mimic the brain and machines that have defeated champions in chess, Jeopardy!, and Go. In the central part of the book, Miller explores the riches of computer-created art, introducing us to artists and computer scientists who have, among much else, unleashed an artificial neural network to create a nightmarish, multi-eyed dog-cat; taught AI to imagine; developed a robot that paints; created algorithms for poetry; and produced the world's first computer-composed musical, Beyond the Fence, staged by Android Lloyd Webber and friends.

But, Miller writes, in order to be truly creative, machines will need to step into the world. He probes the nature of consciousness and speaks to researchers trying to develop emotions and consciousness in computers. Miller argues that computers can already be as creative as humans—and someday will surpass us. But this is not a dystopian account; Miller celebrates the creative possibilities of artificial intelligence in art, music, and literature.



Reviews

...the questions that Miller pursues in his book are some of the most exciting ones you can ask about artificial intelligence today.—New Scientist—

True creativity demands consciousness and emotions. Miller probes the nature of these two uniquely human traits, and introduces his readers to artists and computer scientists who seek to redefine them.

—Mashable—

About the Author

Arthur I. Miller is Emeritus Professor of History and Philosophy of Science at University College London. He is the author of Colliding Worlds: How Cutting-Edge Science is Redefining Contemporary Art and other books including Einstein, Picasso: Space, Time, and the Beauty That Causes Havoc.

추천서가 (다양한 추천 자료를 만나보세요)

권호기사보기

권호기사 목록 테이블로 기사명, 저자명, 페이지, 원문, 기사목차 순으로 되어있습니다.
기사명 저자명 페이지 원문 기사목차