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Other literature type . 2020
License: CC BY
Data sources: Datacite
ZENODO
Other literature type . 2020
License: CC BY
Data sources: Datacite
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Infinite Games for Infinite Teams

Authors: Friedman, Daniel; Cordes, RJ;

Infinite Games for Infinite Teams

Abstract

Infinite Games for Infinite Teams was published by and in response to the DARPAPolyplexus Citizen Incubator: “Inventing a Remote Culture to Deal with Pandemics”,and was done so with the intent of discussing the questions outlined below. How are global online narratives constructed and received in 2020? Why are the processes of narrative design and culture production so important for security and governance? What is possible now or soon that was not possible before? What approaches could catalyze assessment, design, and deployment of online narratives in real-time? Why is it so important to have meme-detection systems that are culturally-aware, interlingual, intermodal, and human-in-the-loop? What does it look like to take a Complex Adaptive Systems (CAS) approach to the neuromemetics of narrative co-construction and agenda-setting? How could a CAS approach be used to support specifically-defined cultural/institutional/national/global interests? How do we find, formalize, and quantify goals or outcomes within a CAS framework? How can we diagnose, perturb, and create narratives through gameplay? What might a “design science for memes” look like? How is this present work continuous with and contrasting with previous work in innovation, generative games, and LARPing? How can music, sound, art, and other techniques amplify narrative impact ?

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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