Attention economy



HYPER-REALITY, by Keiichi Matsuda

We are all agents acting with limited and local information. What sort of behaviour can we expect from a multiscale system composed of such actors? Especially, consider the problem of what we can expect if all the actors in such a system have no only finite computational resources and times to spend of calculating the risk an return for each problem facing them, but also finite resources to spend even on working out which problems to allocate their other finite resources to.

Center for Humane Technology TED-izes this.

References

Evans, David S. 2017. “The Economics of Attention Markets.” SSRN Scholarly Paper ID 3044858. Rochester, NY: Social Science Research Network. https://papers.ssrn.com/abstract=3044858.
Hoiles, William, Vikram Krishnamurthy, and Kunal Pattanayak. 2020. “Rationally Inattentive Inverse Reinforcement Learning Explains YouTube Commenting Behavior.” Journal of Machine Learning Research 21 (170): 1–39. http://jmlr.org/papers/v21/19-872.html.
Rizoiu, Marian-Andrei, and Lexing Xie. 2017. “Online Popularity Under Promotion: Viral Potential, Forecasting, and the Economics of Time.” March 21, 2017. http://arxiv.org/abs/1703.01012.
Wu, Siqi, Marian-Andrei Rizoiu, and Lexing Xie. 2019. “Estimating Attention Flow in Online Video Networks.” Proceedings of the ACM on Human-Computer Interaction 3 (November): 1–25. https://doi.org/10.1145/3359285.

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