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ROADMAP: extending the gaia methodology for complex open systems
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Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 1 table of contents
Bologna, Italy
SESSION: Session 1A: agent oriented software engineering table of contents
Pages: 3 - 10  
Year of Publication: 2002
ISBN:1-58113-480-0
Authors
Thomas Juan  The University of Melbourne, Victoria, 3010, Australia
Adrian Pearce  The University of Melbourne, Victoria, 3010, Australia
Leon Sterling  The University of Melbourne, Victoria, 3010, Australia
Sponsors
SIGART: ACM Special Interest Group on Artificial Intelligence
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 19,   Downloads (12 Months): 66,   Citation Count: 28
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ABSTRACT

This paper is concerned with improving the software engineering of agent-based open systems. It critiques the existing Gaia methodology in the light of a motivating example of intelligent home networks. It describes the ROADMAP1 methodology, which extends Gaia with four improvements - formal models of knowledge and the environment, role hierarchies, explicit representation of social structures and relationships, and incorporation of dynamic changes.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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Blair, G., Coulson, G., Robin, P. and Papathomas, M. An Architecture for Next Generation Middleware, Proc. Middleware '98, The Lake District, England, 1998.
 
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Dertouzos, M. The future of computing, Scientific American, July 1999.
 
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Nwana, H. Software Agents: An Overview. The Knowledge Engineering Review 11 (3). 1996, p205--224.
 
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Odell, J., Parunak, H. and Bauer, B., Extending UML for agents. In the Proceedings of the Agent-Oriented Information System Workshop at the 17th National Conference on Artificial Intelligence, 2000.
 
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Wooldridge, M., and Jennings, N. Intelligent Agents: Theory and Practice, The Knowledge Engineering Review, 10 (2), pp. 115--152, 1995.
 
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CITED BY  28

Collaborative Colleagues:
Thomas Juan: colleagues
Adrian Pearce: colleagues
Leon Sterling: colleagues