Over the last decade research into design processes utilizing ideas and models drawn from artificial intelligence has resulted in a better understanding of design -- particularly routine design -- as a process. Indeed, most of the current research activity directly or indirectly deals only with routine design. Not surprisingly, many practicing designers state that the level of understanding represented by these models is only of mild interest because they fail to embody any ideas about creativity. This volume provides a set of chapters in the areas of modeling creativity and knowledge-based creative design that examines the potential role and form of computer-aided design which supports creativity. It aims to define the state-of-the-art of computational creativity in design as well as to identify research directions. Published at a time when the field of computational creativity in design is still immature, it should influence the directions of growth and assist the field in reaching maturity.
Modeling Creativity (doctoral thesis, 2013) explores how creativity can be represented using computational approaches. Our aim is to construct computer models that exhibit creativity in an artistic context, that is, that are capable of generating or evaluating an artwork (visual or linguistic), an interesting new idea, a subjective opinion. The research was conducted in 2008–2012 at the Computational Linguistics Research Group of the University of Antwerp. Modeling Creativity examines creativity in a number of different perspectives: from its origins in nature, which is essentially blind, to humans and machines, and from generating creative ideas to evaluating and learning their novelty and usefulness. We will use a hands-on approach with case studies and examples in the Python programming language.
A science-backed method to maximize creative potential in any sphere of life With the prevalence of computer technology and outsourcing, new jobs and fulfilling lives will rely heavily on creativity and innovation. Keith Sawyer draws from his expansive research of the creative journey, exceptional creators, creative abilities, and world-changing innovations to create an accessible, eight-step program to increasing anyone's creative potential. Sawyer reveals the surprising secrets of highly creative people (such as learning to ask better questions when faced with a problem), demonstrates how to come up with better ideas, and explains how to carry those ideas to fruition most effectively. This science-backed, step-by step method can maximize our creative potential in any sphere of life. Offers a proven method for developing new ideas and creative problem-solving no matter what your profession Includes an eight-step method, 30 practices, and more than 100 techniques that can be launched at any point in a creative journey Psychologist, jazz pianist, and author Keith Sawyer studied with world-famous creativity expert Mihaly Csikszentmihalyi Sawyer's book offers a wealth of easy to apply strategies and ideas for anyone who wants to tap into their creative power.
Over the last decade research into design processes utilizing ideas and models drawn from artificial intelligence has resulted in a better understanding of design -- particularly routine design -- as a process. Indeed, most of the current research activity directly or indirectly deals only with routine design. Not surprisingly, many practicing designers state that the level of understanding represented by these models is only of mild interest because they fail to embody any ideas about creativity. This volume provides a set of chapters in the areas of modeling creativity and knowledge-based creative design that examines the potential role and form of computer-aided design which supports creativity. It aims to define the state-of-the-art of computational creativity in design as well as to identify research directions. Published at a time when the field of computational creativity in design is still immature, it should influence the directions of growth and assist the field in reaching maturity.
This first volume of the Collected Works of Mihaly Csikszentmihalyi represents his work on Art and Creativity. Starting with his seminal 1964 study on creativity up to his 2010 publication in Newsweek, the volume spans over four decades of research and writing and clearly shows Csikszentmihalyi’s own development as an academic, psychologist, researcher and person. Unconventional and unorthodox in his approach, Csikszentmihalyi chose the topic of creativity as a field of study believing it would help him be a better psychologist and advance his understanding of how to live a better life. The chapters in this volume trace the history of the study of creativity back to the days of Guilford and research on IQ and Jacob Getzels’ work on creativity and intelligence. Firmly grounded in that history, yet extending it in new directions, Mihaly Csikszentmihalyi started his life-long study on artistic creativity. His first extensive study at the School of the Art Institute of Chicago enabled him to observe, test and interview fine art students drawing in a studio. The study formed the very basis of all his work on the subject and has resulted in several articles, represented in this volume, on such creativity-related concepts as problem solving versus problem finding, the personality of the artist, the influence of the social context, creativity as a social construction, developmental issues and flow. The main contribution to the topic of creativity and also the main concept explored in this volume, is the Systems Model of Creativity. Seven chapters in this volume discuss the development of this conceptual model and theory.
"He then describes a model that integrates these different aspects - an inductive-association computational process that can create music. Cope's writing style is lively and nontechnical; the reader needs neither knowledge of computer programming nor specialized computer hardware or software to follow the text."--Jacket.
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.
This encyclopaedia provides specific information and guidance for everyone who is searching for a greater understanding the text includes theories of creativity, techniques for enhancing creativity and individuals who have contributed to creativity.
Developing Creativity in the Classroom applies the most current theory and research on creativity to support the design of teaching and learning. Creative thinking and problem solving are at the heart of learning and application as students prepare for innovation-driven careers. This text debunks myths about creativity and teaching and, instead, illustrates productive conceptions of creative thinking and innovation, including a constructivist learning approach in which creative thinking enhances and strengthens conceptual understanding of the curriculum. Through models of teaching that support creativity and problem solving, this book extends the idea of a creative pedagogy to the four core curriculum domains. Developing Creativity in the Classroom focuses on explanations and examples of how creative thinking and deep learning merge to support engaging learning environments, rising to the challenge of developing 21st-century competencies.
Since the origin of the modern sciences, our views on discovery and creativity had a remarkable history. Originally, discovery was seen as an integral part of methodology and the logic of discovery as algorithmic or nearly algorithmic. During the nineteenth century, conceptions in line with romanticism led to the famous opposition between the context of discovery and the context of justification, culminating in a view that banned discovery from methodology. The revival of the methodological investigation of discovery, which started some thirty years ago, derived its major impetus from historical and sociological studies of the sciences and from developments within cognitive psychology and artificial intelligence. Today, a large majority of philosophers of science agrees that the classical conception as well as the romantic conception are mistaken. Against the classical conception, it is generally accepted that truly novel discoveries are not the result of simply applying some standardized procedure. Against the romantic conception, it is rejected that discoveries are produced by unstructured flashes of insight. An especially important result of the contemporary study concerns the availability of (descriptive and normative) models for explaining discoveries and creative processes. Descriptive models mainly aim at explaining the origin of novel products; normative models moreover address the question how rational researchers should proceed when confronted with problems for which a standard procedure is missing. The present book provides an overview of these models and of the important changes they induced within methodology. As appears from several papers, the methodological study of discovery and creativity led to profound changes in our conceptions of justification and acceptance, of rationality, of scientific change, and of conceptual change. The book contains contributions from both historians and philosophers of science. All of them, however, are methodological in the contemporary sense of the term. The central values of this methodology are empirical accurateness, clarity and precision, and rationality. The different contributions realize these values by their interdisciplinary nature. Some philosophically oriented papers rely on historical case studies and results from the cognitive sciences, others on recent results from the computer sciences and/or non-standard logics. The historically oriented papers address central philosophical questions and hypotheses.
