Fitness in evolutionary art and music: a taxonomy and future prospects

Johnson, Colin G.

doi:10.1504/ijart.2016.075406

Cited by 8 publications

(7 citation statements)

References 42 publications

(51 reference statements)

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“…The system can be used to start from random sequences of notes, and to evolve towards a desired combination of features by specifying a fitness function that combines appropriate drivers. Alternatively, it can be used to create a transition between two kinds of material; as discussed by Magnus [15], one interesting way to use genetic algorithms (or other AI techniques) is to play out the evolutionary process as a performance; what Johnson [12] has called a "seeds and targets" approach.…”

Section: Gappinessmentioning

confidence: 99%

Creating a Digital Mirror of Creative Practice

Johnson

2021

Artificial Intelligence in Music, Sound, Art and Design

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This paper describes an ongoing project to create a "digital mirror" to my practice as a composer of contemporary classical music; that is, a system that takes descriptions (in code) of aspects of that practice, and reflects them back as computer-generated realisations. The paper describes the design process of this system, explains how it is implemented, and gives some examples of the material that it generates. The paper further discusses some broader issues about the technological approach to building creative systems, in particular the advantages and disadvantages of building bespoke algorithms for generating creative content vs. the use of optimisation or learning from examples.

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Section: Gappinessmentioning

confidence: 99%

Creating a Digital Mirror of Creative Practice

Johnson

2021

Artificial Intelligence in Music, Sound, Art and Design

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“…So, the fitness function should be grounded in some theory of aesthetics; perhaps one of the established theories, or perhaps a new kind of theory that is distinctive to computer art or evolutionary art. Johnson [18] reviews a number of possible ideas on which such fitness functions could be built.…”

Section: Aesthetic Fitness In Evolutionary Artmentioning

confidence: 99%

Understanding Aesthetics and Fitness Measures in Evolutionary Art Systems

et al. 2019

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One of the general aims of evolutionary art research is to build a computer system capable of creating interesting, beautiful, or creative results, including images, videos, animations, text, and performances. In this context, it is crucial to understand how fitness is conceived and implemented to explore the “interestingness,” beauty, or creativity that the system is capable of. In this paper, we survey the recent research on fitness for evolutionary art related to aesthetics. We also cover research in the psychology of aesthetics, including relation between complexity and aesthetics, measures of complexity, and complexity predictors. We try to establish connections between human perception and understanding of aesthetics with current evolutionary techniques.

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“…3.2, there is a huge number of measures that try to bridge this gap, see e.g. [9,6,16,19] for an overview. Some of them are strongly correlated, while others address different aspects of the color distribution.…”

Section: Guiding and Controlling Generative Evolutionmentioning

confidence: 99%

Visual Art Inspired by the Collective Feeding Behavior of Sand-Bubbler Crabs

Richter

2018

Computational Intelligence in Music, Sound, Art and Design

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Sand-bubblers are crabs of the genera Dotilla and Scopimera which are known to produce remarkable patterns and structures at tropical beaches. From these pattern-making abilities, we may draw inspiration for digital visual art. A simple mathematical model is proposed and an algorithm is designed that may create such sand-bubbler patterns artificially. In addition, design parameters to modify the patterns are identified and analyzed by computational aesthetic measures. Finally, an extension of the algorithm is discussed that may enable controlling and guiding generative evolution of the art-making process.

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Fitness in evolutionary art and music: a taxonomy and future prospects

Cited by 8 publications

References 42 publications

Creating a Digital Mirror of Creative Practice

Creating a Digital Mirror of Creative Practice

Understanding Aesthetics and Fitness Measures in Evolutionary Art Systems

Visual Art Inspired by the Collective Feeding Behavior of Sand-Bubbler Crabs

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