Faith in the Algorithm, Part 2: Computational Eudaemonics

Simple item page
dc.creatorRodriguez, Marko A.
dc.creatorWatkins, Jennifer H.
dc.date2009-04-01
dc.date.accessioned2026-07-07T13:13:56Z
dc.date.available2026-07-07T13:13:56Z
dc.descriptionEudaemonics 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.
dc.identifierhttps://arxiv.org/abs/0904.0027
dc.identifierhttp://arxiv.org/abs/0904.0027
dc.identifierProceedings of the International Conference on Knowledge-Based and Intelligent Information & Engineering Systems, Invited Session: Innovations in Intelligent Systems, Lecture Notes in Artificial Intelligence, Springer-Verlag, October 2009.
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/230056
dc.subjectComputers and Society
dc.subjectArtificial Intelligence
dc.subjectK.4.1; H.1.2; H.3
dc.titleFaith in the Algorithm, Part 2: Computational Eudaemonics
dc.typetext

Files

Collections

arXiv