Attention economy



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 and 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.

HYPER-REALITY, by Keiichi Matsuda

Incoming

References

Bordalo, Pedro, Nicola Gennaioli, and Andrei Shleifer. 2022. Salience.” Annual Review of Economics 14 (1): 521–44.
Evans, David S. 2017. The Economics of Attention Markets.” SSRN Scholarly Paper ID 3044858. Rochester, NY: Social Science Research Network.
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.
Huang, Linan, and Quanyan Zhu. 2021. Combating Informational Denial-of-Service (IDoS) Attacks: Modeling and Mitigation of Attentional Human Vulnerability.” arXiv:2108.08255 [Cs] 13061: 314–33.
Paasonen, Susanna. 2021. Dependent, Distracted, Bored: Affective Formations in Networked Media.
Polman, Evan. 2010. Why Are Maximizers Less Happy Than Satisficers? Because They Maximize Positive and Negative Outcomes.” Journal of Behavioral Decision Making 23 (2): 179–90.
Rizoiu, Marian-Andrei, and Lexing Xie. 2017. Online Popularity Under Promotion: Viral Potential, Forecasting, and the Economics of Time.” arXiv:1703.01012 [Cs], March.
Schwartz, Barry, Andrew Ward, John Monterosso, Sonja Lyubomirsky, Katherine White, and Darrin R. Lehman. 2002. Maximizing Versus Satisficing: Happiness Is a Matter of Choice. Journal of Personality and Social Psychology 83 (5): 1178–97.
Wojtowicz, Zachary, Nick Chater, and George Loewenstein. 2019. Boredom and Flow: An Opportunity Cost Theory of Attention-Directing Motivational States.” SSRN Scholarly Paper. Rochester, NY.
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 (CSCW): 1–25.

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