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Faith in the Algorithm, Part 2: Computational Eudaemonics

2009/04/01 by Marko A. Rodriguez, Jennifer H. Watkins · 1 voice
Computer Science · #cs.AI #cs.CY

paper · pdf

published as Proceedings 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.

arxiv created 2009/04/01 · arxiv published 2009/04/01 · arxiv updated 2009/12/01

Abstract

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.

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