How Evaluation Guides AI Research - Cohen - 1988 - AI Magazine - Wiley Online Library
Use the link below to share a full-text version of this article with your friends and colleagues. Learn more. Share a link 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. Evaluation means making observations of all aspects of one's research. Often, we think of evaluation only in terms of how well AI systems perform, yet it is vital to all stages o
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