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.