Describes the principles of algorighmic art along with examples of generative art and tutorials using the processing programming language to create the images found in the book.

In this unique book the author explores the history of pioneering computer art and its contribution to art history by way of examining Ernest Edmonds’ art from the late 1960s to the present day. Edmonds’ inventions of new concepts, tools and forms of art, along with his close involvement with the communities of computer artists, constructive artists and computer technologists, provides the context for discussion of the origins and implications of the relationship between art and technology. Drawing on interviews with Edmonds and primary research in archives of his work, the book offers a new contribution to the history of the development of digital art and places Edmonds’ work in the context of contemporary art history.

Generative Art: Algorithms as Artistic Tool presents both simple programming concepts and generative art principles in the same book. Generative Art, a relatively new form of art, is the art of the algorithm where an artist must carefully design the nature of the work and then implement it as a computer program. This book presents a set of novel approaches to this subject. Existing books on this subject confront the topic through the lens of programming. This book does that, but also presents approaches to creating art using art and design best practices. Content is arranged according to the problem that is to be solved. Readers will have access to code used in the book through the book's web site and video tutorials are also available for each chapter.

A multidisciplinary introduction to the field of computational creativity, analyzing the impact of advanced generative technologies on art and music. As algorithms get smarter, what role will computers play in the creation of music, art, and other cultural artifacts? Will they be able to create such things from the ground up, and will such creations be meaningful? In Beyond the Creative Species, Oliver Bown offers a multidisciplinary examination of computational creativity, analyzing the impact of advanced generative technologies on art and music. Drawing on a wide range of disciplines, including artificial intelligence and machine learning, design, social theory, the psychology of creativity, and creative practice research, Bown argues that to understand computational creativity, we must not only consider what computationally creative algorithms actually do, but also examine creative artistic activity itself.

Scribing - the practice of visually mapping a group's content in real time, as people talk - is increasingly used across sectors and around the globe to bring human ideas and interaction alive through words and images, thus activating the social field in a unique and participatory way.Scribing is an evolving art form whose potential is only just beginning to be fully realized. This book will provide a much needed framework for scribing and, on a larger level, for seeing possibilities of connecting inner and outer lives, art and the social realm.

An examination of machine learning art and its practice in new media art and music. Over the past decade, an artistic movement has emerged that draws on machine learning as both inspiration and medium. In this book, transdisciplinary artist-researcher Sofian Audry examines artistic practices at the intersection of machine learning and new media art, providing conceptual tools and historical perspectives for new media artists, musicians, composers, writers, curators, and theorists. Audry looks at works from a broad range of practices, including new media installation, robotic art, visual art, electronic music and sound, and electronic literature, connecting machine learning art to such earlier artistic practices as cybernetics art, artificial life art, and evolutionary art. Machine learning underlies computational systems that are biologically inspired, statistically driven, agent-based networked entities that program themselves. Audry explains the fundamental design of machine learning algorithmic structures in terms accessible to the nonspecialist while framing these technologies within larger historical and conceptual spaces. Audry debunks myths about machine learning art, including the ideas that machine learning can create art without artists and that machine learning will soon bring about superhuman intelligence and creativity. Audry considers learning procedures, describing how artists hijack the training process by playing with evaluative functions; discusses trainable machines and models, explaining how different types of machine learning systems enable different kinds of artistic practices; and reviews the role of data in machine learning art, showing how artists use data as a raw material to steer learning systems and arguing that machine learning allows for novel forms of algorithmic remixes.

Digital technology has changed the ways in which music is perceived, stored, distributed, mediated and created. The world of music is now a vast and complex jungle, teeming with CDs, MP3s, concerts, clubs, festivals, conferences, exhibitions, installations, websites, software programmes, scenes, ideas and competing theories. In the eye of the storm stands David Toop, shedding light on the most interesting music now being made ? on laptops, in downtown bars in Tokyo, wherever he finds it. Haunted Weather is part personal memoir and part travel journal, as well as an intensive survey of recent developments in digital technology, sonic theory and musical practice. Along the way Toop probes into the meaning of sound (and silence), offering fascinating insights into how computers can be used for improvisation. His wealth of musical knowledge provides inspiration for anyone interested in music.