Abstract
This paper reports the results of an empirical analysis of the knowledge engineering behavior of six persons with extensive experience in artificial intelligence (AI). The six persons were given the task of designing an AI program and were videotaped while they did so; during their 2–3 h design sessions, they were asked to talk aloud about what they were doing and why they were doing it. The paper identifies several recurrent behaviors common to all the AI designers. For example, several components of the designers' goal structures are identified, as is the importance of focussing on a “touchstone”, or key issue, around which much of the designer's behavior revolves. Several potential implications of the research for the design of knowledge engineering tools are explored.
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