Diversity is beneficial for a research group: One more quantitative argument

© 2015 World Academic Press, UK. All rights reserved. In this paper, we propose a natural model describing competition between two research groups of the same average research strength. The analysis of this model enables us to conclude that a more diverse group has an advantage: namely, the more div...

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Main Authors:	Suriya K., Sudtasan T., Wang T., Lerma O., Kreinovich V.
Format:	Article
Published:	World Academic Union 2015
Subjects:	Artificial Intelligence Control and Optimization Computer Vision and Pattern Recognition
Online Access:	http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=84929164728&origin=inward http://cmuir.cmu.ac.th/handle/6653943832/39152
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Institution:	Chiang Mai University

id	th-cmuir.6653943832-39152
record_format	dspace
spelling	th-cmuir.6653943832-391522015-06-16T08:07:47Z Diversity is beneficial for a research group: One more quantitative argument Suriya K. Sudtasan T. Wang T. Lerma O. Kreinovich V. Artificial Intelligence Control and Optimization Computer Vision and Pattern Recognition © 2015 World Academic Press, UK. All rights reserved. In this paper, we propose a natural model describing competition between two research groups of the same average research strength. The analysis of this model enables us to conclude that a more diverse group has an advantage: namely, the more diverse the group, the higher the average quality of its publications. 2015-06-16T08:07:47Z 2015-06-16T08:07:47Z 2015-01-01 Article 17528909 2-s2.0-84929164728 http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=84929164728&origin=inward http://cmuir.cmu.ac.th/handle/6653943832/39152 World Academic Union
institution	Chiang Mai University
building	Chiang Mai University Library
country	Thailand
collection	CMU Intellectual Repository
topic	Artificial Intelligence Control and Optimization Computer Vision and Pattern Recognition
spellingShingle	Artificial Intelligence Control and Optimization Computer Vision and Pattern Recognition Suriya K. Sudtasan T. Wang T. Lerma O. Kreinovich V. Diversity is beneficial for a research group: One more quantitative argument
description	© 2015 World Academic Press, UK. All rights reserved. In this paper, we propose a natural model describing competition between two research groups of the same average research strength. The analysis of this model enables us to conclude that a more diverse group has an advantage: namely, the more diverse the group, the higher the average quality of its publications.
format	Article
author	Suriya K. Sudtasan T. Wang T. Lerma O. Kreinovich V.
author_facet	Suriya K. Sudtasan T. Wang T. Lerma O. Kreinovich V.
author_sort	Suriya K.
title	Diversity is beneficial for a research group: One more quantitative argument
title_short	Diversity is beneficial for a research group: One more quantitative argument
title_full	Diversity is beneficial for a research group: One more quantitative argument
title_fullStr	Diversity is beneficial for a research group: One more quantitative argument
title_full_unstemmed	Diversity is beneficial for a research group: One more quantitative argument
title_sort	diversity is beneficial for a research group: one more quantitative argument
publisher	World Academic Union
publishDate	2015
url	http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=84929164728&origin=inward http://cmuir.cmu.ac.th/handle/6653943832/39152
_version_	1681421602748628992

Diversity is beneficial for a research group: One more quantitative argument

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