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Towards Games for Knowledge Acquisition and Modeling

Towards Games for Knowledge Acquisition and Modeling

Stijn Hoppenbrouwers, Bart Schotten, Peter Lucas
Copyright: © 2010 |Volume: 2 |Issue: 4 |Pages: 19
ISSN: 1942-3888|EISSN: 1942-3896|EISBN13: 9781613502532|DOI: 10.4018/jgcms.2010100104
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MLA

Hoppenbrouwers, Stijn, et al. "Towards Games for Knowledge Acquisition and Modeling." IJGCMS vol.2, no.4 2010: pp.48-66. http://doi.org/10.4018/jgcms.2010100104

APA

Hoppenbrouwers, S., Schotten, B., & Lucas, P. (2010). Towards Games for Knowledge Acquisition and Modeling. International Journal of Gaming and Computer-Mediated Simulations (IJGCMS), 2(4), 48-66. http://doi.org/10.4018/jgcms.2010100104

Chicago

Hoppenbrouwers, Stijn, Bart Schotten, and Peter Lucas. "Towards Games for Knowledge Acquisition and Modeling," International Journal of Gaming and Computer-Mediated Simulations (IJGCMS) 2, no.4: 48-66. http://doi.org/10.4018/jgcms.2010100104

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Abstract

Many model-based methods in AI require formal representation of knowledge as input. For the acquisition of highly structured, domain-specific knowledge, machine learning techniques still fall short, and knowledge elicitation and modelling is then the standard. However, obtaining formal models from informants who have few or no formal skills is a non-trivial aspect of knowledge acquisition, which can be viewed as an instance of the well-known “knowledge acquisition bottleneck”. Based on the authors’ work in conceptual modelling and method engineering, this paper casts methods for knowledge modelling in the framework of games. The resulting games-for-modelling approach is illustrated by a first prototype of such a game. The authors’ long-term goal is to lower the threshold for formal knowledge acquisition and modelling.

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