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 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.

HYPER-REALITY, by Keiichi Matsuda

References

Bordalo, Pedro, Nicola Gennaioli, and Andrei Shleifer. 2022. β€œSalience.” Annual Review of Economics 14 (1): 521–44.
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Huang, Linan, and Quanyan Zhu. 2021. β€œCombating Informational Denial-of-Service (IDoS) Attacks: Modeling and Mitigation of Attentional Human Vulnerability.” arXiv:2108.08255 [Cs] 13061: 314–33.
Polman, Evan. 2010. β€œWhy Are Maximizers Less Happy Than Satisficers? Because They Maximize Positive and Negative Outcomes.” Journal of Behavioral Decision Making 23 (2): 179–90.
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Schwartz, Barry, Andrew Ward, John Monterosso, Sonja Lyubomirsky, Katherine White, and Darrin R. Lehman. 2002. β€œMaximizing 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. β€œBoredom 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. β€œEstimating Attention Flow in Online Video Networks.” Proceedings of the ACM on Human-Computer Interaction 3 (CSCW): 1–25.

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