{"title":"Infranet: A Geospatial Data-Driven Neuro-Evolutionary Artwork","authors":"Graham Wakefield, H. Ji","doi":"10.1109/VISAP.2019.8900903","DOIUrl":null,"url":null,"abstract":"“Infranet” is a generative artwork interweaving data visualization and sonification, artificial intelligence, and evolutionary algorithms in a population of artificial life creatures, thriving upon geospatial data of the infrastructure of a city as its sustenance and canvas. Each exhibit of Infranet utilizes public data available on the host city; including Gwangju, South Korea (2018), New York, USA (2019), and Vancouver, Canada (2019). This paper documents the motivations behind the work, its design and subsequent implementation in details. At its heart is the speculative proposition of the data of a city as a habitat for new forms of life. Our design in response utilizes neural networks at individual, as well as population-wide scales, along with horizontal gene transfer and contagion/entrainment as means for the living beings to open-endedly discover the variety in the data habitat.","PeriodicalId":190247,"journal":{"name":"2019 IEEE VIS Arts Program (VISAP)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE VIS Arts Program (VISAP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/VISAP.2019.8900903","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
“Infranet” is a generative artwork interweaving data visualization and sonification, artificial intelligence, and evolutionary algorithms in a population of artificial life creatures, thriving upon geospatial data of the infrastructure of a city as its sustenance and canvas. Each exhibit of Infranet utilizes public data available on the host city; including Gwangju, South Korea (2018), New York, USA (2019), and Vancouver, Canada (2019). This paper documents the motivations behind the work, its design and subsequent implementation in details. At its heart is the speculative proposition of the data of a city as a habitat for new forms of life. Our design in response utilizes neural networks at individual, as well as population-wide scales, along with horizontal gene transfer and contagion/entrainment as means for the living beings to open-endedly discover the variety in the data habitat.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
