Conceptual structures: information processing in mind and machine
Conceptual structures: information processing in mind and machine
Conceptual Graph Interchange Format for Mining Financial Statements
RSKT '09 Proceedings of the 4th International Conference on Rough Sets and Knowledge Technology
Enhancing the initial requirements capture of multi-agent systems through conceptual graphs
ICCS'05 Proceedings of the 13th international conference on Conceptual Structures: common Semantics for Sharing Knowledge
Transaction agent modelling: from experts to concepts to multi-agent systems
ICCS'06 Proceedings of the 14th international conference on Conceptual Structures: inspiration and Application
Improving AOSE with an enriched modelling framework
AOSE'05 Proceedings of the 6th international conference on Agent-Oriented Software Engineering
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Whilst tools assist the various tasks required to develop a multi-agent system (MAS), yet there still remains a gap between the generation of MAS models and program code. AUML development has enabled MAS designs to be specified in detail, including the complexities of agent communication protocols, which was a shortcoming of the Unified Modelling Language (UML) standard. However, the creation of MAS designs using AUML still requires a significant amount of design expertise on the part of the designer. We describe an approach to the development of a complex healthcare information system that defines specific steps along the path to MAS implementation. In particular we explore the use of conceptual knowledge modelling techniques by means of conceptual graphs and a transactions-based architecture for model verification during requirements gathering, together with a translation to AUML for design specification, proposing a framework to extend existing AOSE methodologies.