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http://dspace.iitrpr.ac.in:8080/xmlui/handle/123456789/2723Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Ek´art, A. | - |
| dc.contributor.author | Sharma, D. | - |
| dc.contributor.author | Chalakov, S. | - |
| dc.date.accessioned | 2021-09-20T07:14:41Z | - |
| dc.date.available | 2021-09-20T07:14:41Z | - |
| dc.date.issued | 2021-09-20 | - |
| dc.identifier.uri | http://localhost:8080/xmlui/handle/123456789/2723 | - |
| dc.description.abstract | Creative activities including arts are characteristic to humankind. Our understanding of creativity is limited, yet there is substantial research trying to mimic human creativity in artificial systems and in particular to produce systems that automatically evolve art appreciated by humans. We propose here to model human visual preference by a set of aesthetic measures identified through observation of human selection of images and then use these for automatic evolution of aesthetic images. | en_US |
| dc.language.iso | en_US | en_US |
| dc.subject | aesthetic measure | en_US |
| dc.subject | human preference modelling | en_US |
| dc.subject | genetic programming | en_US |
| dc.subject | interactive vs automatic evolution | en_US |
| dc.title | Modelling human preference in evolutionary art | en_US |
| dc.type | Article | en_US |
| Appears in Collections: | Year-2011 | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Full Text.pdf | 412.6 kB | Adobe PDF | View/Open Request a copy |
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