POLOVINA, S. and HILL, R. (2005). Enhancing the initial requirements capture of Multi-Agent Systems through conceptual graphs. In: DAU, F., MUGNIER, M. L. and STUMME, G., (eds.) Conceptual Structures: Common Semantics for Sharing Knowledge, Proceedings. Lecture Notes in Artificial Intelligence, 3596 . Springer, 439-452.Full text not available from this repository.
A key purpose of Multi-Agent Systems (MAS) is to assist humans make better decisions given the vast and disparate information that global systems such as the Web have enabled. The resulting popularity of Agent-Oriented Software Engineering (AOSE) thus demands a methodology that facilitates the development of robust, scalable MAS implementations that recognise real-world semantics. Using an exemplar in the Community Healthcare domain and Conceptual Graphs (CG), we describe an AOSE approach that elicits the hitherto hidden requirements of a system much earlier in the software development lifecycle, whilst also incorporating model-checking to ensure robustness. The resulting output is then available for translation into Agent Oriented Unified Modelling Language (AUML) and further developed using the agent development toolkit of choice.
|Item Type:||Book Section|
|Additional Information:||13th International Conference on Conceptual Structures JUL 17-22, 2005, Kassel, GERMANY|
|Research Institute, Centre or Group:||Cultural Communication and Computing Research Institute > Communication and Computing Research Centre|
|Depositing User:||Ann Betterton|
|Date Deposited:||14 Dec 2010 16:34|
|Last Modified:||09 Nov 2016 16:54|
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