Managing NetLogo models in CLIPS

Authors:
Kamila Olševičová;Agáta Bodnárová;Pavel Čech
Affiliations:
Dept. of Information Technologies, University of Hradec Králové, Hradec Králové, Czech Republic;Dept. of Information Technologies, University of Hradec Králové, Hradec Králové, Czech Republic;Dept. of Information Technologies, University of Hradec Králové, Hradec Králové, Czech Republic
Venue:
DNCOCO'10 Proceedings of the 9th WSEAS international conference on Data networks, communications, computers
Year:
2010

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Abstract

The objective of our research is to suggest and implement solutions for personalization of e-learning systems. Our motivation is to customize e-learning courses' contents to heterogeneous target groups, i.e. to users with different learning styles, preferences, previous experiences etc. In the paper we explain how NetLogo agent-based models can be described by structured facts and how these facts can be processed in rule-based system CLIPS. The rule-based solution enables managing models, update their descriptions, check consistency of descriptions and mainly search for models with respect to numerous criteria. Having search results, it is easier to integrate models into learning scenarios tailored to needs of individuals.