Beschreibung:
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.
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.
Systematizing Creativity: A Computational View.- A Framework for Description, Analysis and Comparison of Creative Systems.- Autonomous Intentionality in Computationally Creative Systems.- From Conceptual Mash-ups to Badass Blends: A Robust Computational Model of Conceptual Blending.- The Nuts and Bolts of Conceptual Blending: Multidomain Concept Creation with Divago.- Bisociative Knowledge Discovery for Cross-domain Literature Mining.- Computational Design, Analogy, and Creativity.- The Evaluation of Creative Systems.- Expectation-Based Models of Novelty for Evaluating Computational Creativity.- Evaluating Evaluation: Assessing Progress and Practices in Computational Creativity Research.- Computer-Supported Human Creativity and Human-Supported Computer Creativity in Language.- Representing Social Common-Sense Knowledge in MEXICA.- Exploring Quantitative Evaluations of the Creativity of Automatic Poets.- Multi-agent-Based Models of Social Creativity.- Creative Systems: A BiologicalPerspective.- Breaking the Mould: An Evolutionary Quest for Innovation Through Style Change
