Developing Creativity: Artificial Barriers in Artificial Intelligence

Jennings, Kyle E.

doi:10.1007/s11023-010-9206-y

Cited by 65 publications

(48 citation statements)

References 21 publications

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“…Some computational creativity researchers are starting to highlight the importance of the environment in which a creative system is situated (Jennings, 2010;Pease and Colton, 2011;Saunders, 2012;Sosa, Gero, and Jennings, 2009), with some of this work influenced by the DIFI (Domain-Individual-Field-Interaction) framework (Csikszentmihalyi, 1988) mentioned above. The role of the audience in interpreting creative content has been acknowledged (Gervás and León, 2014;VealeandLi,2015).…”

Section: The Press In Computational Creativitymentioning

confidence: 99%

Four PPPPerspectives on computational creativity in theory and in practice

Jordanous

2016

Connection Science

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Computational creativity is the modelling, simulating or replicating of creativity computationally. In examining and learning from these "creative systems", from what perspective should the creativity of a system be considered? Are we interested in the creativity of the system's output? Or of its creative processes? Features of the system? Or how it operates within its environment? Traditionally computational creativity has focused more on creative systems' products or processes, though this focus has widened recently. Creativity research offers the Four Ps of creativity: Person/Producer, Product, Process and Press/Environment. This paper presents the Four Ps, explaining each in the context of creativity research and how it relates to computational creativity. To illustrate the usefulness of the Four Ps in taking broader perspectives on creativity in its computational treatment, the concepts of novelty and value are explored using the Four Ps, highlighting aspects of novelty and value that may otherwise be overlooked. Analysis of recent research in computational creativity finds that although each of the Four Ps appears in the body of computational creativity work, individual pieces of work often do not acknowledge all Four Ps, missing opportunities to widen their work's relevance. We can see, though, that high-status computational creativity papers do typically address all Four Ps. This paper argues that the broader views of creativity afforded by the Four Ps is vital in guiding us towards more comprehensively useful computational investigations of creativity. ARTICLE HISTORY

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Section: The Press In Computational Creativitymentioning

confidence: 99%

Four PPPPerspectives on computational creativity in theory and in practice

Jordanous

2016

Connection Science

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“…Future developments of the proposed system aim to satisfy the three criteria of creative autonomy described in Jennings (2010). At present, the Autonomous Evaluation of the system is mainly related to the control of what is produced compared to the known styles and are stored in the map of Styles.…”

Section: Discussionmentioning

confidence: 99%

Introducing a creative process on a cognitive architecture

Augello¹,

Infantino²,

Pilato³

et al. 2013

Biologically Inspired Cognitive Architectures

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“…A system that takes more creative responsibility could even change its standards and modify its own goals. Jennings (2010) gives an accessible account of creative autonomy, the ability of a system to evaluate and to change its standard. While evaluation itself obviously is domain and application specific, the role and importance of evaluation is discussed in the literature more generally.…”

Section: Evaluation As Part Of the Creative Processmentioning

confidence: 99%

Teaching Computational Creativity

Ackerman

Goel

Johnson

et al. 2017

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The increasing popularity of computational creativity (CC) in recent years gives rise to the need for educational resources. This paper presents several modules that together act as a guide for developing new CC courses as well as improving existing curricula. As well as introducing core CC concepts, we address pedagogical approaches to this interdisciplinary subject. An accessible overview of the field lets this paper double as an introductory tutorial to computational creativity.

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Developing Creativity: Artificial Barriers in Artificial Intelligence

Cited by 65 publications

References 21 publications

Four PPPPerspectives on computational creativity in theory and in practice

Four PPPPerspectives on computational creativity in theory and in practice

Introducing a creative process on a cognitive architecture

Teaching Computational Creativity

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