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Adapting A Computational Multi Agent Model For Humpback Whale Song Research For Use As A Tool For Algorithmic Composition

descriptionPublicationkeyboard_double_arrow_right Conference object 31 Aug 2016 United Kingdom Publisher:Zenodo
Authors: Mcloughlin, Michael; Ingram, Simon; Rendell, Luke Edward; Lamoni, Luca Ubaldo; Kirke, Alexis; Garland, Ellen Clare; Noad, Michael; +1 Authors

doi: 10.5281/zenodo.851253 , 10.5281/zenodo.851252

handle: 10023/9795

Adapting A Computational Multi Agent Model For Humpback Whale Song Research For Use As A Tool For Algorithmic Composition

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(Abstract to follow)

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United Kingdom
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Keywords

QA75, 2214 Media Technology, QH301, QA75 Electronic computers. Computer science, QH301 Biology, 1210 Music, 1706 Computer Science Applications

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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