Enhancing the initial requirements capture of multi-agent systems through conceptual graphs

  • Authors:
  • Simon Polovina;Richard Hill

  • Affiliations:
  • Web-Based and Multi-Agent Research Group, Faculty of Arts, Computing, Engineering and Sciences, Sheffield Hallam University, Sheffield, United Kingdom;Web-Based and Multi-Agent Research Group, Faculty of Arts, Computing, Engineering and Sciences, Sheffield Hallam University, Sheffield, United Kingdom

  • Venue:
  • ICCS'05 Proceedings of the 13th international conference on Conceptual Structures: common Semantics for Sharing Knowledge
  • Year:
  • 2005

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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.