From concepts to agents: towards a framework for multi-agent system modelling

Richard Hill, Simon Polovina, Martin Beer

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

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. Copyright 2005 ACM.
Original languageEnglish
Title of host publicationAAMAS '05
Subtitle of host publicationProceedings of the fourth international joint conference on Autonomous agents and multiagent systems
PublisherAssociation for Computing Machinery (ACM)
Pages1155-1156
Number of pages2
ISBN (Print)1595930949
DOIs
Publication statusPublished - 25 Jul 2005
Externally publishedYes
Event4th International Joint Conference on Autonomous Agents and Multiagent Systems - University of Utrecht, Utrecht, Netherlands
Duration: 25 Jul 200529 Jul 2005
Conference number: 4

Conference

Conference4th International Joint Conference on Autonomous Agents and Multiagent Systems
Abbreviated titleAAMAS '05
CountryNetherlands
CityUtrecht
Period25/07/0529/07/05

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    Hill, R., Polovina, S., & Beer, M. (2005). From concepts to agents: towards a framework for multi-agent system modelling. In AAMAS '05: Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems (pp. 1155-1156). Association for Computing Machinery (ACM). https://doi.org/10.1145/1082473.1082670