How Evaluation Guides AI Research: The Message Still Counts More than the Medium

Authors

  • Paul R. Cohen
  • Adele E. Howe

DOI:

https://doi.org/10.1609/aimag.v9i4.952

Abstract

Evaluation should be a mechanism of progress both within and across AI research projects. For the individual, evaluation can tell us how and why our methods and programs work and, so, tell us how our research should proceed. For the community, evaluation expedites the understanding of available methods and, so, their integration into further research. In this article, we present a five-stage model of AI research and describe guidelines for evaluation that are appropriate for each stage. These guidelines, in the form of evaluation criteria and techniques, suggest how to perform evaluation. We conclude with a set of recommendations that suggest how to encourage the evaluation of AI research.

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Published

1988-12-15

How to Cite

Cohen, P. R., & Howe, A. E. (1988). How Evaluation Guides AI Research: The Message Still Counts More than the Medium. AI Magazine, 9(4), 35. https://doi.org/10.1609/aimag.v9i4.952

Issue

Section

Articles