Towards modeling human expertise: an empirical case study
Rainer Knauf, Setsuo Tsuruta, Avelino J. González · Common Library Network (Der Gemeinsame Bibliotheksverbund) · 2005
The success of TURING Test technologies for system valida-tion depends on the quality of the human expertise behind the system. The authors developed models of collective and individual human expertise, which are shortly outlined here. The focus of the paper is an experimental work aimed at de-termining the quality of these models. The models have been used for both solving problem cases and rating (other agents’) solutions to these cases. By comparing the models ’ solutions and ratings with those of the human original we derived as-sessments of their quality. An analysis revealed both the gen-eral usefulness and some particular weaknesses.