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Simulation based knowledge elicitation: Effect of visual representation and model parameters

Lookup NU author(s): Professor Stewart RobinsonORCiD

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Abstract

Since much knowledge is tacit, eliciting knowledge is a common bottleneck during the development of knowledge-based systems. Visual interactive simulation (VIS) has been proposed as a means for eliciting experts' decision-making by getting them to interact with a visual simulation of the real system in which they work. In order to explore the effectiveness and efficiency of VIS based knowledge elicitation, an experiment has been carried out with decision-makers in a Ford Motor Company engine assembly plant. The model properties under investigation were the level of visual representation (2-dimensional, 2-dimensional and 3-dimensional) and the model parameter settings (unadjusted and adjusted to represent more uncommon and extreme situations). The conclusion from the experiment is that using a 2-dimensional representation with adjusted parameter settings provides the better simulation-based means for eliciting knowledge, at least for the case modelled. © 2012 Elsevier Ltd. All rights reserved.

Publication metadata

Author(s): Robinson S, Lee EPK, Edwards JS

Publication type: Article

Publication status: Published

Journal: Expert Systems with Applications

Year: 2012

Volume: 39

Issue: 9

Pages: 8479-8489

Print publication date: 01/07/2012

Online publication date: 04/02/2012

ISSN (print): 0957-4174

ISSN (electronic): 1873-6793

Publisher: Elsevier

URL: https://doi.org/10.1016/j.eswa.2012.01.170

DOI: 10.1016/j.eswa.2012.01.170

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