• 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