Computational creativity is an emerging field of research within AI that focuses on the capacity of machines to both generate and evaluate novel outputs that would, if produced by a human, be considered creative. This book is intended to be a canonical text for this new discipline, through which researchers and students can absorb the philosophy of the field and learn its methods. After a comprehensive introduction to the idea of systematizing creativity the contributions address topics such as autonomous intentionality, conceptual blending, literature mining, computational design, models of novelty, evaluating progress in related research, computer-supported human creativity and human-supported computer creativity, common-sense knowledge, and models of social creativity. Products of this research will have real consequences for the worlds of entertainment, culture, science, education, design, and art, in addition to artificial intelligence, and the book will be of value to practitioners and students in all these domains.

Experts describe current perspectives and experimental approaches to understanding the neural bases of creativity. This volume offers a comprehensive overview of the latest neuroscientific approaches to the scientific study of creativity. In chapters that progress logically from neurobiological fundamentals to systems neuroscience and neuroimaging, leading scholars describe the latest theoretical, genetic, structural, clinical, functional, and applied research on the neural bases of creativity. The treatment is both broad and in depth, offering a range of neuroscientific perspectives with detailed coverage by experts in each area. The contributors discuss such issues as the heritability of creativity; creativity in patients with brain damage, neurodegenerative conditions, and mental illness; clinical interventions and the relationship between psychopathology and creativity; neuroimaging studies of intelligence and creativity; the neuroscientific basis of creativity-enhancing methodologies; and the information-processing challenges of viewing visual art. Contributors Baptiste Barbot, Mathias Benedek, David Q. Beversdorf, Aaron P. Blaisdell, Margaret A. Boden, Dorret I. Boomsma, Adam S. Bristol, Shelley Carson, Marleen H. M. de Moor, Andreas Fink, Liane Gabora, Dennis Garlick, Elena L. Grigorenko, Richard J. Haier, Rex E. Jung, James C. Kaufman, Helmut Leder, Kenneth J. Leising, Bruce L. Miller, Apara Ranjan, Mark P. Roeling, W. David Stahlman, Mei Tan, Pablo P. L. Tinio, Oshin Vartanian, Indre V. Viskontas, Dahlia W. Zaidel

What is ‘design creativity’? It is impossible to answer this question without considering why human beings can – and do – ‘design’. Design creativity is instrumental in not only addressing social problems faced across the world, but also evoking an innate appreciation for beauty and a sense of personal contentment. Design Creativity 2010 comprises advanced research findings on design creativity and perspectives on future directions of design creativity research. The papers included were presented and discussed at the first ICDC (International Conference on Design Creativity), which was held at Kobe, Japan, in 2010. Design Creativity 2010 encourages readers to enhance and expand their activities in the field of design creativity.

This book introduces a computationally feasible, cognitively inspired formal model of concept invention, drawing on Fauconnier and Turner's theory of conceptual blending, a fundamental cognitive operation. The chapters present the mathematical and computational foundations of concept invention, discuss cognitive and social aspects, and further describe concrete implementations and applications in the fields of musical and mathematical creativity. Featuring contributions from leading researchers in formal systems, cognitive science, artificial intelligence, computational creativity, mathematical reasoning and cognitive musicology, the book will appeal to readers interested in how conceptual blending can be precisely characterized and implemented for the development of creative computational systems.

This book looks at causative reasons behind creative acts and stylistic expressions. It explores how creativity is initiated by design cognition and explains relationships between style and creativity. The book establishes a new cognitive theory of style and creativity in design and provides designers with insights into their own cognitive processes and styles of thinking, supporting a better understanding of the qualities present in their own design. An explanation of the nature of design cognition begins this work, with a look at how design knowledge is formulated, developed, structured and utilized, and how this utilization triggers style and creativity. The author goes on to review historical studies of style, considering a series of psychological experiments relating to the operational definition, degree, measurement, and creation of style. The work conceptually summarizes the recognition of individual style in products, as well as the creation of such styles as a process before reviewing studies on creativity from various disciplines, presenting case studies and reviewing works by master architects. Readers will discover how creativity is initiated by design cognition. A summary of the correlations between creativity and style, expressed as a conceptual formula describing the cognitive phenomenon of style and creativity concludes the work. The ideas presented here are applicable to all design fields, allowing designers to comprehend and improve their design processes to produce creative, stylistically unique products.

The first detailed examination of a-life art, where new mediaartists adopt, and adapt, techniques from artificial life.