Enhancing the initial requirements capture of Multi-Agent Systems through conceptual graphs

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.

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Official URL: http://www.springer.com/computer/ai/book/978-3-540...

Abstract

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: 14 Dec 2010 16:34
URI: http://shura.shu.ac.uk/id/eprint/2660

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