Title

Towards Modeling Human Expertise: Am Empirical Case Study

Abstract

The success of TURING Test technologies for system validation 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 determining 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 assessments of their quality. An analysis revealed both the general usefulness and some particular weaknesses. Copyright © 2005, American Association for Artificial Intelligence (www.aaai.org). All rights reserved.

Publication Date

12-1-2005

Publication Title

Proceedings of the Eighteenth International Florida Artificial Intelligence Research Society Conference, FLAIRS 2005 - Recent Advances in Artifical Intelligence

Number of Pages

232-237

Document Type

Article; Proceedings Paper

Personal Identifier

scopus

Socpus ID

32844463894 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/32844463894

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