On Hybrid Creativity

Lomas, Andy

doi:10.3390/arts7030025

Cited by 13 publications

(14 citation statements)

References 11 publications

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“…We see evidence of interactively searching for creative ideas with the system -through the iterative process of generating and altering parameters. As Lomas [26] observed, the aims of the creative search in such circumstances include exploring the conceptual space, identifying fruitful locations, refining ideas, and seeking novelty. Translating his methods from the visual to the audio domain and from numeric to symbolic data is not straightforward.…”

Section: Discussionmentioning

confidence: 99%

How Music AI Is Useful: Engagements with Composers, Performers and Audiences

2021

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Critical but often overlooked research questions in artificial intelligence (AI) applied to music involve the impact of the results for music. How and to what extent does such research contribute to the domain of music? How are the resulting models useful for music practitioners? In this article, we describe how we are addressing such questions by engaging composers, musicians, and audiences with our research. We first describe two websites we have created that make our AI models accessible to a wide audience. We then describe a professionally recorded album that we released to expert reviewers to gauge the plausibility of AI-generated material. Finally, we describe the use of our AI models as tools for co-creation. Evaluating AI research and music models in these ways illuminate their impact on music making in a range of styles and practices.

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Section: Discussionmentioning

confidence: 99%

How Music AI Is Useful: Engagements with Composers, Performers and Audiences

2021

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“…The Lomas dataset used consisted of 1,774 images, each generated by a developmental form generation system driven by the software Species Explorer [25,26]. This software (Figure 2) is the front-end to the generative developmental system, used for assigning ratings, categories and driving interactive evolution.…”

Section: Generative Art Datasetmentioning

confidence: 99%

Deep learning of individual aesthetics

McCormack

Lomas

2020

Neural Comput & Applic

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Accurate evaluation of human aesthetic preferences represents a major challenge for creative evolutionary and generative systems research. Prior work has tended to focus on feature measures of the artefact, such as symmetry, complexity and coherence. However, research models from Psychology suggest that human aesthetic experiences encapsulate factors beyond the artefact, making accurate computational models very difficult to design. The interactive genetic algorithm (IGA) circumvents the problem through human-in-the-loop, subjective evaluation of aesthetics, but is limited due to user fatigue and small population sizes. In this paper we look at how recent advances in deep learning can assist in automating personal aesthetic judgement. Using a leading artist's computer art dataset, we investigate the relationship between image measures, such as complexity, and human aesthetic evaluation. We use dimension reduction methods to visualise both genotype and phenotype space in order to support the exploration of new territory in a generative system. Convolutional Neural Networks trained on the artist's prior aesthetic evaluations are used to suggest new possibilities similar or between known high quality genotype-phenotype mappings. We integrate this classification and discovery system into a software tool for evolving complex generative art and design.

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“…Can computational methods be used to allow exploration of generative systems in ways that would not be otherwise possible? The computer becomes an active part of the process of discovery, not just as the medium used to create artefacts (Lomas 2018). Digital Art, Culture and Heritage: New constructs and consciousness Jonathan P. Bowen, Tula Giannini, Rachel Ara, Andy Lomas & Wonderland (1999).…”

Section: Title: What Do Digital Artists Do All Day?mentioning

confidence: 99%

Digital Art, Culture and Heritage: New constructs and consciousness

Bowen

Giannini

Ara³

et al. 2019

Electronic Workshops in Computing

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This half-day Symposium explores themes of digital art, culture, and heritage, bringing together speakers from a range of disciplines to consider technology with respect to artistic and academic practice. As we increasingly see ourselves and life through a digital lens and the world communicated on digital screens, we experience altered states of being and consciousness in ways that blur the lines between digital and physical reality, while our ways of thinking and seeing become a digital stream of consciousness that flows between place and cyberspace. We have entered the postdigital world and are living, working, and thinking with machines as our computational culture driven by artificial intelligence and machine learning embeds itself in everyday life and threads across art, culture, and heritage, juxtaposing them in the digital profusion of human creativity on the Internet.

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On Hybrid Creativity

Cited by 13 publications

References 11 publications

How Music AI Is Useful: Engagements with Composers, Performers and Audiences

How Music AI Is Useful: Engagements with Composers, Performers and Audiences

Deep learning of individual aesthetics

Digital Art, Culture and Heritage: New constructs and consciousness

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