DocumentCode :
580024
Title :
Considerations on measuring technology tree features
Author :
Heinimäki, Teemu J.
Author_Institution :
Dept. of Software Syst., Tampere Univ. of Technol., Tampere, Finland
fYear :
2012
fDate :
12-13 Sept. 2012
Firstpage :
145
Lastpage :
148
Abstract :
Given the recently emerged importance and rapid growth of social and economical impacts of the digital game industry, it is crucial to carry out research work for being able to develop better games. Technology trees is a topic covered hardly at all in academic papers so far. This paper discusses measuring different features and properties contained in them. The long-term goal is to facilitate producing good technology trees by the means of measurement-based enhancing and balancing algorithms.
Keywords :
computer games; directed graphs; entertainment; socio-economic effects; trees (mathematics); digital game industry; directed acyclic graph; economical impacts; measurement-based balancing algorithm; measurement-based enhancing algorithm; social impacts; technology tree feature measurement; Artificial intelligence; Computer science; Educational institutions; Games; Semantics; Topology; Vegetation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science and Electronic Engineering Conference (CEEC), 2012 4th
Conference_Location :
Colchester
Print_ISBN :
978-1-4673-2665-0
Type :
conf
DOI :
10.1109/CEEC.2012.6375394
Filename :
6375394
Link To Document :
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