Computational Creativity: The Philosophy and Engineering of Autonomously Creative Systems (Computational Synthesis and Creative Systems) - Hardcover

Über die Autorin bzw. den Autor

Tony Veale received his Ph.D. in Computer Science on the subject of Creative Language Processing from Trinity College Dublin. Since then he has divided his career between academia and industry. He developed text-understanding and machine translation systems for Hitachi; he patented Web-based question-answering technology for Intelliseek and Coreintellect, where he held the position of Chief Scientist; during his tenure on the CYC project in Cycorp he developed a model of analogical reasoning and contributed to DARPA’s High-Performance-Knowledge-Bases (HPKB) and Rapid-Knowledge-Formation (RKF) projects. He has coauthored over 120 research papers. He wrote the monograph Exploding the Creativity Myth: The Computational Foundations of Linguistic Creativity published by Bloomsbury Academic; he coedited the multidisciplinary volume Creativity and the Agile Mind published by Mouton De Gruyter; he coauthored the book Twitterbots: Making Machines That Make Meaning published by MIT Press;and he coauthored the book The Metaphor: A Computational Perspective published by Morgan Claypool. He has been an invited lecturer and has conducted tutorials and code camps related to creativity, both linguistic and computational, at international summer and autumn schools and conferences. He publishes widely in the area of Computational Creativity, further details are available at http://afflatus.ucd.ie

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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.