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Supporting agent-oriented designs with models of macroscopic system behavior
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International Conference on Autonomous Agents archive
Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems - Volume 2 table of contents
Budapest, Hungary
SESSION: Comprehensive/cross-cutting table of contents
Pages 1355-1356  
Year of Publication: 2009
ISBN:978-0-9817381-7-8
Authors
Jan Sudeikat  Hamburg University of Applied Sciences, Hamburg, Germany
Wolfgang Renz  Hamburg University of Applied Sciences, Hamburg, Germany
Sponsors
: The Foundation for Intelligent Physical Agents
Microsoft Research : Microsoft Research
: Whitestein Technologies
: European Office of Aerospace Research and Development, Air Force Office of Scientific Research, United States Air Force Research Laboratory
: Drexel University
: Wiley -- Blackwell Ltd
Publisher
Bibliometrics
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ABSTRACT

The purposeful development of MAS, particularly when addressing complex, decentralized application architectures, demands the ability to anticipate the effects of agent coaction. Sophisticated design and modeling tools support the development of individual agent models and their arrangement in organizational structures. However, only limited support is available to pre-estimate the qualitative, macroscopic system properties that rise from agent (inter-)action. Here, we propose a systemic modeling level that allows to describe the qualitative macroscopic dynamics of MAS by modeling the impact of exhibiting agent behaviors on parts of the agent population as well as environment elements. We discuss the systematic derivation of these models from established design models/notations and outline how these models can be used to anticipate the qualitative dynamics of MAS as well as to validate MAS implementations.


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.

 
1
J. Ferber, O. Gutknecht, and F. Michel. From agents to organizations: An organizational view of multi-agent systems. In Agent-Oriented Software Engineering IV, pages 214--230, 2003.
 
2
L. Gardelli, M. Viroli, and A. Omicini. On the role of simulations in engineering self-organising mas: The case of an intrusion detection system in TuCSoN. In Engineering Self-Organising Systems, pages 153--166. Springer, 2006.
 
3
B. Henderson-Sellers and P. Giorgini, editors. Agent-oriented Methodologies. Idea Group Publ., 2005.
 
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5
X. Mao and E. Yu. Organizational and social concepts in agent oriented software engineering. In Agent-Oriented Software Engineering V, pages 1--15, 2004.
 
6
J. C. Mogul. Emergent (mis)behavior vs. complex software systems. Technical Report HPL-2006-2, HP Laboratories Palo Alto, 2005.
 
7
G. P. Richardson. Problems with causal--loop diagrams. System Dynamics Review, 2:158--170, 1986.
 
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Collaborative Colleagues:
Jan Sudeikat: colleagues
Wolfgang Renz: colleagues