Titlebook: Computational Creativity; The Philosophy and E Tony Veale,F. Amílcar Cardoso Book 2019 Springer Nature Switzerland AG 2019 Artificial Intel

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Computational Design, Analogy, and Creativity,tivity. Then, we describe a computational theory of analogical design called model-based analogy. Next, we summarize empirical results from in situ observations of analogical thinking in biologically inspired design. Then, we analyze biologically inspired design from the viewpoint of model-based ana

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Expectation-Based Models of Novelty for Evaluating Computational Creativity,e violation of observers’ expectations instead of as the objective differences between artefacts. We discuss why models of novelty based on measuring the differences between known and new artefacts are insufficient, and how models based on expectation can address those insufficiencies. We also descr

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Evaluating Evaluation: Assessing Progress and Practices in Computational Creativity Research,e not received much in terms of evaluation of the actual creativity of the systems, although this has recently attracted more attention as a research perspective. As a scientific research community, computational creativity researchers can benefit from more systematic/standardised approaches to eval

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Computer-Supported Human Creativity and Human-Supported Computer Creativity in Language, other during the creativity process and we demonstrate concrete examples of systems that allow different degrees of interaction with the user. Then, we focus on computer-supported human creativity, where the computer necessarily requires human intervention, either for providing input or decisions t

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Creative Systems: A Biological Perspective, creative systems encompass a broad range of generative processes, including the physical, chemical, biological and social. Looking beyond human creativity opens up the idea of creative processes occurring over timescales or dimensions outside normal human experience. This chapter examines the use o

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Breaking the Mould An Evolutionary Quest for Innovation Through Style Change,terplay between a classifier and an evolutionary system. The classifier is trained with famous paintings and images created by the system, learning to distinguish between these two categories. It is then used to assign fitness, leading to the discovery of imagery that deviates from that previously c