Story Machines How Computers Have Become Creative Writers

This fascinating book explores machines as authors of fiction, past, present, and future. For centuries, writers have dreamed of mechanical storytellers. We can now build these devices. What will be the impact on society of AI programs that generate original stories to entertain and persuade? What can we learn about human creativity from probing how they work? In Story Machines, two pioneers of creative artificial intelligence explore the design and impact of AI story generators. The book covers three themes: language generators that compose coherent text, storyworlds with believable characters, and AI models of human storytellers. Providing examples of story machines through the ages, it covers the history, recent developments, and future implications of automated story generation. Anyone with an interest in story writing will gain a new perspective on what it means to be a creative writer, what parts of creativity can be mechanized, and what is essentially human. Story Machines is for those who have ever wondered what makes a good story, why stories are important to us, and what the future holds for storytelling.

This fascinating book explores machines as authors of fiction, past, present, and future. For centuries, writers have dreamed of mechanical storytellers. We can now build these devices. What will be the impact on society of AI programs that generate original stories to entertain and persuade? What can we learn about human creativity from probing how they work? In Story Machines, two pioneers of creative artificial intelligence explore the design and impact of AI story generators. The book covers three themes: language generators that compose coherent text, storyworlds with believable characters, and AI models of human storytellers. Providing examples of story machines through the ages, it covers the history, recent developments, and future implications of automated story generation. Anyone with an interest in story writing will gain a new perspective on what it means to be a creative writer, what parts of creativity can be mechanized, and what is essentially human. Story Machines is for those who have ever wondered what makes a good story, why stories are important to us, and what the future holds for storytelling.

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.

Someday computers will be artists. They'll be able to write amusing and original stories, invent and play games of unsurpassed complexity and inventiveness, tell jokes and suffer writer's block. But these things will require computers that can both achieve artistic goals and be creative. Both capabilities are far from accomplished. This book presents a theory of creativity that addresses some of the many hard problems which must be solved to build a creative computer. It also presents an exploration of the kinds of goals and plans needed to write simple short stories. These theories have been implemented in a computer program called MINSTREL which tells stories about King Arthur and his knights. While far from being the silicon author of the future, MINSTREL does illuminate many of the interesting and difficult issues involved in constructing a creative computer. The results presented here should be of interest to at least three different groups of people. Artificial intelligence researchers should find this work an interesting application of symbolic AI to the problems of story-telling and creativity. Psychologists interested in creativity and imagination should benefit from the attempt to build a detailed, explicit model of the creative process. Finally, authors and others interested in how people write should find MINSTREL's model of the author-level writing process thought-provoking.

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.

A pseudo-autobiographical exploration of the artistic and cultural impact of the transformation of the print book to its electronic incarnations.

A NCTE Notable Poetry Book Twenty-two poems capture the amazing power of writing and will inspire even the most reluctant writer to begin putting words to paper. Write! Write! Write! is a poetry collection that explores every stage and every aspect of the writing process, from learning the alphabet to the thrilling moment of writing a thought for the first time, from writer's block to finding inspiration, and from revision to stapling your finished work into a book. These poems also celebrate how writing teaches patience, helps express opinions, and allows us to imagine the impossible. This book, brimming with imagination and wonder, will leave readers eager to grab a pen, pencil, or keyboard--and write!

This book provides state-of-the-art contemporary research insights into key applications and processes in open world learning. Open world learning seeks to understand access to education, structures, and the presence of dialogue and support systems. It explores how the application of open world and educational technologies can be used to create opportunities for open and high-quality education. Presenting ground-breaking research from an award winning Leverhulme doctoral training programme, the book provides several integrated and cohesive perspectives of the affordances and limitations of open world learning. The chapters feature a wide range of open world learning topics, ranging from theoretical and methodological discussions to empirical demonstrations of how open world learning can be effectively implemented, evaluated, and used to inform theory and practice. The book brings together a range of innovative uses of technology and practice in open world learning from 387,134 learners and educators learning and working in 136 unique learning contexts across the globe and considers the enablers and disablers of openness in learning, ethical and privacy implications, and how open world learning can be used to foster inclusive approaches to learning across educational sectors, disciplines and countries. The book is unique in exploring the complex, contradictory and multi-disciplinary nature of open world learning at an international level and will be of great interest to academics, researchers, professionals, and policy makers in the field of education technology, e-learning and digital education. The Open Access version of this book, available at www.taylorfrancis.com, has been made available under a Creative Commons Attribution-Non Commercial-No Derivatives 4.0 license.