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Titlebook: Evolutionary and Biologically Inspired Music, Sound, Art and Design; 4th International Co Colin Johnson,Adrian Carballal,Jo?o Correia Confe

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發(fā)表于 2025-3-28 17:48:21 | 只看該作者
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發(fā)表于 2025-3-28 19:16:43 | 只看該作者
Exploring Discourse in Context and in Actiond music composition is proposed. It is inspired by genetic programming and uses a tree-based domain model of compositions. The model represents musical pieces as a set of constraints changing over time, forming musical contexts allowing to compose, reuse and reshape musical fragments. The system imp
43#
發(fā)表于 2025-3-28 23:07:46 | 只看該作者
https://doi.org/10.1007/978-3-031-64330-9ture and design. While the exploration of possibilities across facets of creativity offers a more realistic approach to the game design process, most existing autonomous (or semi-autonomous) game content generators focus on the mere generation of single domains (creativity facets) in games. Motivate
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發(fā)表于 2025-3-29 06:47:25 | 只看該作者
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發(fā)表于 2025-3-29 08:48:34 | 只看該作者
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發(fā)表于 2025-3-29 13:18:39 | 只看該作者
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發(fā)表于 2025-3-29 19:13:34 | 只看該作者
Erik Jon Byker,Matthew A. Witensteinination design. The Radiance system is used for performing accurate illumination simulations. Radiance accounts for a number of important environmental factors, which we exploit during fitness evaluation. Illumination requirements include local illumination intensity from natural and artificial sour
48#
發(fā)表于 2025-3-29 21:43:13 | 只看該作者
School Development in Tough Times,a source of energy and a means of communication. Visitors are invited to engage with the installation using torches to influence and interact with the phototropic robots. As well as describing the finished piece, we explore some of the issues around creating works based on biologically inspired robo
49#
發(fā)表于 2025-3-30 01:33:29 | 只看該作者
50#
發(fā)表于 2025-3-30 06:19:41 | 只看該作者
https://doi.org/10.1007/978-3-031-19572-3 way to navigate the space. We have shown that using machine learning on artificial data can accurately predict the viability of chairs based on a range of ergonomic considerations. We have also shown that the design space can be explored using an evolutionary algorithm with the predicted viability
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