Generating interesting Monopoly boards from open data

Marie Gustafsson Friberger, Julian Togelius

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    With increasing amounts of open data, especially where data can be connected with various additional information resources, new ways of visualizing and making sense of this data become possible and necessary. This paper proposes, discusses and exemplifies the concept of data games, games that allow the player(s) to explore data that is derived from outside the game, by transforming the data into something that can be played with. The transformation takes the form of procedural content generation based on real-world data. As an example of a data game, we describe Open Data Monopoly, a game board generator that uses economic and social indicator data for local governments in the UK. Game boards are generated by first collecting user input on which indicators to use and how to weigh them, as well as what criteria should be used for street selection. Sets of streets are then evolved that maximize the selected criteria, and ordered according to "prosperity" as defined subjectively by the user. Chance and community cards are created based on auxiliary data about the local political entities.

    Original languageEnglish (US)
    Title of host publication2012 IEEE Conference on Computational Intelligence and Games, CIG 2012
    Pages288-295
    Number of pages8
    DOIs
    StatePublished - 2012
    Event2012 IEEE International Conference on Computational Intelligence and Games, CIG 2012 - Granada, Spain
    Duration: Sep 11 2012Sep 14 2012

    Other

    Other2012 IEEE International Conference on Computational Intelligence and Games, CIG 2012
    CountrySpain
    CityGranada
    Period9/11/129/14/12

    Fingerprint

    Economics

    ASJC Scopus subject areas

    • Artificial Intelligence
    • Computer Graphics and Computer-Aided Design
    • Human-Computer Interaction
    • Software

    Cite this

    Friberger, M. G., & Togelius, J. (2012). Generating interesting Monopoly boards from open data. In 2012 IEEE Conference on Computational Intelligence and Games, CIG 2012 (pp. 288-295). [6374168] https://doi.org/10.1109/CIG.2012.6374168

    Generating interesting Monopoly boards from open data. / Friberger, Marie Gustafsson; Togelius, Julian.

    2012 IEEE Conference on Computational Intelligence and Games, CIG 2012. 2012. p. 288-295 6374168.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Friberger, MG & Togelius, J 2012, Generating interesting Monopoly boards from open data. in 2012 IEEE Conference on Computational Intelligence and Games, CIG 2012., 6374168, pp. 288-295, 2012 IEEE International Conference on Computational Intelligence and Games, CIG 2012, Granada, Spain, 9/11/12. https://doi.org/10.1109/CIG.2012.6374168
    Friberger MG, Togelius J. Generating interesting Monopoly boards from open data. In 2012 IEEE Conference on Computational Intelligence and Games, CIG 2012. 2012. p. 288-295. 6374168 https://doi.org/10.1109/CIG.2012.6374168
    Friberger, Marie Gustafsson ; Togelius, Julian. / Generating interesting Monopoly boards from open data. 2012 IEEE Conference on Computational Intelligence and Games, CIG 2012. 2012. pp. 288-295
    @inproceedings{401324bc272f480186466280da57936d,
    title = "Generating interesting Monopoly boards from open data",
    abstract = "With increasing amounts of open data, especially where data can be connected with various additional information resources, new ways of visualizing and making sense of this data become possible and necessary. This paper proposes, discusses and exemplifies the concept of data games, games that allow the player(s) to explore data that is derived from outside the game, by transforming the data into something that can be played with. The transformation takes the form of procedural content generation based on real-world data. As an example of a data game, we describe Open Data Monopoly, a game board generator that uses economic and social indicator data for local governments in the UK. Game boards are generated by first collecting user input on which indicators to use and how to weigh them, as well as what criteria should be used for street selection. Sets of streets are then evolved that maximize the selected criteria, and ordered according to {"}prosperity{"} as defined subjectively by the user. Chance and community cards are created based on auxiliary data about the local political entities.",
    author = "Friberger, {Marie Gustafsson} and Julian Togelius",
    year = "2012",
    doi = "10.1109/CIG.2012.6374168",
    language = "English (US)",
    isbn = "9781467311922",
    pages = "288--295",
    booktitle = "2012 IEEE Conference on Computational Intelligence and Games, CIG 2012",

    }

    TY - GEN

    T1 - Generating interesting Monopoly boards from open data

    AU - Friberger, Marie Gustafsson

    AU - Togelius, Julian

    PY - 2012

    Y1 - 2012

    N2 - With increasing amounts of open data, especially where data can be connected with various additional information resources, new ways of visualizing and making sense of this data become possible and necessary. This paper proposes, discusses and exemplifies the concept of data games, games that allow the player(s) to explore data that is derived from outside the game, by transforming the data into something that can be played with. The transformation takes the form of procedural content generation based on real-world data. As an example of a data game, we describe Open Data Monopoly, a game board generator that uses economic and social indicator data for local governments in the UK. Game boards are generated by first collecting user input on which indicators to use and how to weigh them, as well as what criteria should be used for street selection. Sets of streets are then evolved that maximize the selected criteria, and ordered according to "prosperity" as defined subjectively by the user. Chance and community cards are created based on auxiliary data about the local political entities.

    AB - With increasing amounts of open data, especially where data can be connected with various additional information resources, new ways of visualizing and making sense of this data become possible and necessary. This paper proposes, discusses and exemplifies the concept of data games, games that allow the player(s) to explore data that is derived from outside the game, by transforming the data into something that can be played with. The transformation takes the form of procedural content generation based on real-world data. As an example of a data game, we describe Open Data Monopoly, a game board generator that uses economic and social indicator data for local governments in the UK. Game boards are generated by first collecting user input on which indicators to use and how to weigh them, as well as what criteria should be used for street selection. Sets of streets are then evolved that maximize the selected criteria, and ordered according to "prosperity" as defined subjectively by the user. Chance and community cards are created based on auxiliary data about the local political entities.

    UR - http://www.scopus.com/inward/record.url?scp=84872004806&partnerID=8YFLogxK

    UR - http://www.scopus.com/inward/citedby.url?scp=84872004806&partnerID=8YFLogxK

    U2 - 10.1109/CIG.2012.6374168

    DO - 10.1109/CIG.2012.6374168

    M3 - Conference contribution

    SN - 9781467311922

    SP - 288

    EP - 295

    BT - 2012 IEEE Conference on Computational Intelligence and Games, CIG 2012

    ER -