Faith in the Algorithm, Part 2: Computational Eudaemonics

  • Authors:
  • Marko A. Rodriguez;Jennifer H. Watkins

  • Affiliations:
  • Center for Nonlinear Studies, Los Alamos National Laboratory, Los Alamos, USA 87545;International and Applied Technology, Los Alamos National Laboratory, Los Alamos, USA 87545

  • Venue:
  • KES '09 Proceedings of the 13th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems: Part II
  • Year:
  • 2009

Quantified Score

Hi-index 0.00

Visualization

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.