Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.12540/168
Title: Design and analysis of a multi-agent e-learning system using prometheus design tool
Authors: Ehimwenma, Kennedy E. 
Krishnamoorthy, Sujatha 
Issue Date: 2020
Publisher: UAD Institute of Scientific Publication and Press (LPPI)
Source: Ehimwenma, K. E., & Krishnamoorthy S. (2020). Design and analysis of a multi-agent e-learning system using prometheus design tool. IAES International Journal of Artificial Intelligence (IJ-AI), 9(4), 31-45.
Journal: IAES International Journal of Artificial Intelligence (IJ-AI) 
Abstract: Agent unified modeling languages (AUML) are agent-oriented approaches that supports the specification, design, visualization and documentation of an agent-based system. This paper presents the use of Prometheus AUML approach for the modeling of a Pre-assessment System of five interactive agents. The Pre-assessment System, as previously reported, is a multi-agent based e-learning system that is developed to support the assessment of prior learning skills in students so as to classify their skills and make recommendation for their learning. This paper discusses the detailed design approach of the system in a step-by-step manner; and domain knowledge abstraction and organization in the system. In addition, the analysis of the data collated and models of prediction for future pre-assessment results are also presented.
URI: https://hdl.handle.net/20.500.12540/168
DOI: 10.11591/ijai.v9.i4.pp%25p
Appears in Collections:Scholarly Publications

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