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Meta-models for building multi-agent systems
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Proceedings of the 2002 ACM symposium on Applied computing table of contents
Madrid, Spain
SESSION: Agents, interactions, mobility and systems table of contents
Pages: 37 - 41  
Year of Publication: 2002
ISBN:1-58113-445-2
Authors
Jorge J. Gómez-Sanz  Universidad Complutense Madrid, Avda. Complutense s/n, 28040 Madrid, Spain
Juan Pavón  Universidad Complutense Madrid, Avda. Complutense s/n, 28040 Madrid, Spain
Francisco Garijo  Telefonica I+D, Emilio Vargas 6, 28043 Madrid, Spain
Sponsor
SIGAPP: ACM Special Interest Group on Applied Computing
Publisher
ACM  New York, NY, USA
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ABSTRACT

This paper reports the experience of using meta-models for improving analysis and design activities in multi-agent system engineering. Four meta-models describing different views of the MAS such as organization view, agent, goals/tasks, and interactions are presented. Meta-models are described in UML MOF which make them compatible with current software engineering formalisms. Engineers may instantiate the meta- models to produce the entities that may appear in concrete MAS. These meta-models have been derived from several experimentations in MAS, which are briefly described in the paper. Engineering experience in using the meta-models for building MAS applications is also reported in the conclusions.


REFERENCES

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1
Brazier, F. M. T. ; Keplicz, B. Dunin; Jennings, N.; Treur, J. Desire: Modelling multi-agent systems in a compositional formal framework. International Journal of Cooperative Information Systems, 6:67-94, 1997.
2
 
3
 
4
Dernazeau, Y.: From interactions to collective behaviour in agent-based systems. In European Conference on Cognitive Sciences, 1995.
 
5
Eurescom P712. Intelligent and mobile agents and their applicability to service and network management. http://www.eurescom.de/public/projects/P700-series/P712/P712.htm
 
6
Eurescom P815. Communications Management Process Integration Using Software Agents. http://www.eurescom.de/public/projects/P800-series/P815/P815.htm
 
7
Eurescom P907. MESSAGE Methodology, Initial Version. July, 2000. http://www.eurescom.de/~public-webspace/P900-series/P907/index.htm
 
8
 
9
 
10
Garijo, F., Gomez-Sanz, J. J., Pavón, J.: Multi-Agent System Organization. An Engineering Perspective. Proceedings of MAAMAW 2001.
 
11
 
12
 
13
 
14
 
15
Massonet, P. et al.: MESSAGE: Engineering Agent Systems with UML. Proceedings of AOSE 2001.
 
16
Newell A.: The knowledge level. Artificial Intelligence, 18(1982) pp. 87-127.
 
17
Object Management Group. Task and Session CBOs Specification. Version 1.0. April 2000.
 
18
Object Management Group. Meta Object Facility (MOF) Specification, V.1.3. formal/2000-04-03. http://www.omg.org
 
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Collaborative Colleagues:
Jorge J. Gómez-Sanz: colleagues
Juan Pavón: colleagues
Francisco Garijo: colleagues