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Computational creativity seeks to understand computational mechanisms that can be characterized as creative. The creation of new concepts is a central challenge for any creative system. In this article, we outline different approaches to computational concept creation and then review conceptual representations relevant to concept creation, and therefore to computational creativity. The conceptual representations are organized in accordance with two important perspectives on the distinctions between them. One distinction is between symbolic, spatial and connectionist representations. The other is between descriptive and procedural representations. Additionally, conceptual representations used in particular creative domains, such as language, music, image and emotion, are reviewed separately. For every representation reviewed,we cover the inference it affords, the computational means of building it, and its application in concept creation. [ABSTRACT FROM AUTHOR]

Interactive storytelling systems have become very popular as they engage users in the creation of narrative. A fundamental challenge for such systems is that the users feel unconstrained in their exploration of the environment and yet retain for the author some control of what the user does. Traditional solutions address this challenge by hardening the authoring task, since much effort has to be devoted to create the story and the necessary mechanisms to provide the user with enough freedom that, at the same time, keeps the story consistent. We propose a solution based on dynamic narration that combines a set of authored materials associated with particular points in the environment and the exploratory movements of the user, and includes statements of varying emphasis to guide the user towards the desired elements. This allows the system to generate a narration in real time while giving the user the possibility to decide what to do. The solution has been field tested and results are reported on three different aspects: the freedom of the user in terms of combinations in which the authored material is traversed; the divergence of user explorations from author's intentions; and user response to guidance statements of differing emphasis. [ABSTRACT FROM AUTHOR]

Automatic generation of linguistic artifacts is a problem that has been sporadically tackled over the years. The main goal of this paper is to explore how concept associations can be useful from a computational creativity point of view to generate some of these artifacts. We present an approach where finding associations between concepts that would not usually be considered as related (for example life and politics or diamond and concrete) could be the seed for the generation of creative and surprising linguistic artifacts such as rhetorical figures (life is like politics) and riddles (what is as hard as concrete?). Human volunteers evaluated the quality and appropriateness of the generated figures and riddles, and the results show that the concept associations obtained are useful for producing these kinds of creative artifacts. [ABSTRACT FROM AUTHOR]