Quality Measures for Improving Technology Trees

The quality of technology trees in digital games can be improved by adjusting their structural and quantitative properties. Therefore, there is a demand for recognizing and measuring such properties. Part of the process can be automated; there are properties measurable by computers, and analyses bas...

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Main Authors: Teemu J. Heinimäki, Tapio Elomaa
Format: Article
Language:English
Published: Wiley 2015-01-01
Series:International Journal of Computer Games Technology
Online Access:http://dx.doi.org/10.1155/2015/975371
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author Teemu J. Heinimäki
Tapio Elomaa
author_facet Teemu J. Heinimäki
Tapio Elomaa
author_sort Teemu J. Heinimäki
collection DOAJ
description The quality of technology trees in digital games can be improved by adjusting their structural and quantitative properties. Therefore, there is a demand for recognizing and measuring such properties. Part of the process can be automated; there are properties measurable by computers, and analyses based on the results (and visualizations of them) may help to produce significantly better technology trees, even practically without extra workload for humans. In this paper, we introduce useful technology tree properties and novel measuring features implemented into our software tool for manipulating technology trees.
format Article
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institution Kabale University
issn 1687-7047
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publishDate 2015-01-01
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series International Journal of Computer Games Technology
spelling doaj-art-7bce89816df24304a424140ddd1158042025-02-03T05:46:35ZengWileyInternational Journal of Computer Games Technology1687-70471687-70552015-01-01201510.1155/2015/975371975371Quality Measures for Improving Technology TreesTeemu J. Heinimäki0Tapio Elomaa1Department of Mathematics, Tampere University of Technology, P.O. Box 553, 33101 Tampere, FinlandDepartment of Mathematics, Tampere University of Technology, P.O. Box 553, 33101 Tampere, FinlandThe quality of technology trees in digital games can be improved by adjusting their structural and quantitative properties. Therefore, there is a demand for recognizing and measuring such properties. Part of the process can be automated; there are properties measurable by computers, and analyses based on the results (and visualizations of them) may help to produce significantly better technology trees, even practically without extra workload for humans. In this paper, we introduce useful technology tree properties and novel measuring features implemented into our software tool for manipulating technology trees.http://dx.doi.org/10.1155/2015/975371
spellingShingle Teemu J. Heinimäki
Tapio Elomaa
Quality Measures for Improving Technology Trees
International Journal of Computer Games Technology
title Quality Measures for Improving Technology Trees
title_full Quality Measures for Improving Technology Trees
title_fullStr Quality Measures for Improving Technology Trees
title_full_unstemmed Quality Measures for Improving Technology Trees
title_short Quality Measures for Improving Technology Trees
title_sort quality measures for improving technology trees
url http://dx.doi.org/10.1155/2015/975371
work_keys_str_mv AT teemujheinimaki qualitymeasuresforimprovingtechnologytrees
AT tapioelomaa qualitymeasuresforimprovingtechnologytrees