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.
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.”arXiv:1703.01012 [cs], March. 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 (CSCW): 1–25. https://doi.org/10.1145/3359285.