  Eudaemonics is the study of the nature, causes, and conditions of human
well-being. According to the ethical theory of eudaemonia, reaping satisfaction
and fulfillment from life is not only a desirable end, but a moral
responsibility. However, in modern society, many individuals struggle to meet
this responsibility. Computational mechanisms could better enable individuals
to achieve eudaemonia by yielding practical real-world systems that embody
algorithms that promote human flourishing. This article presents eudaemonic
systems as the evolutionary goal of the present day recommender system.
