Computational Sustainability

Authors

  • Eric Eaton University of Pennsylvania
  • Carla P. Gomes Cornell University
  • Brian Williams Massachusetts Institute of Technology

DOI:

https://doi.org/10.1609/aimag.v35i2.2525

Abstract

Computational sustainability problems, which exist in dynamic environments with high amounts of uncertainty, provide a variety of unique challenges to artificial intelligence research and the opportunity for significant impact upon our collective future. This editorial provides an overview of artificial intelligence for computational sustainability, and introduces this special issue of AI Magazine.

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Published

2014-06-19

How to Cite

Eaton, E., Gomes, C. P., & Williams, B. (2014). Computational Sustainability. AI Magazine, 35(2), 3-7. https://doi.org/10.1609/aimag.v35i2.2525

Issue

Section

Editorials