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Digital pheromone mechanisms for coordination of unmanned vehicles
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Source International Conference on Autonomous Agents archive
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 1 table of contents
Bologna, Italy
SESSION: Session 1D: self-organizing systems table of contents
Pages: 449 - 450  
Year of Publication: 2002
ISBN:1-58113-480-0
Authors
H. Van Dyke ParunaK  Altarum, Ann Arbor, MI
Sven Brueckner  Altarum, Ann Arbor, MI
John Sauter  Altarum, Ann Arbor, MI
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): 9,   Downloads (12 Months): 48,   Citation Count: 9
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ABSTRACT

Many social insects coordinate without direct communication or complex reasoning. They deposit and sense chemicals ("pheromones") in a shared physical environment that participates actively in the system's dynamics, yielding robust adaptive coordination. Seeking such characteristics in engineered systems, we have developed a software environment that uses digital pheromones to coordinate computational agents. We apply digital pheromones to the control of air combat missions [8], developing several promising mechanisms for general agent coordination. This report describes pheromone-based movement control as a variety of potential-field-based methods, reviews the mechanisms we have developed, and describes their performance in several air combat scenarios.


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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S. Brueckner. Return from the Ant: Synthetic Ecosystems for Manufacturing Control. Dr.rer.nat. Thesis at Humboldt University Berlin, Department of Computer Science, 2000.
 
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S. Brueckner and H. V. D. Parunak. Multiple Pheromones for Improved Guidance. In Proceedings of Symposium on Advanced Enterprise Control, 2000.
 
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A. Drogoul. When Ants Play Chess (Or Can Strategies Emerge from Tactical Behaviors? In Proceedings of Fifth European Workshop on Modelling Autonomous Agents in a Multi-Agent World (MAAMAW '93), pages 13--27, Springer, 1995.
 
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A. Kott. SEADy Storm. 2000. Word file, http://www.erim.org/cec/projects/adaptiv/SeadyStorm-v1.2.doc.
 
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H. V. D. Parunak. 'Go to the Ant': Engineering Principles from Natural Agent Systems. Annals of Operations Research, 75:69--101, 1997.
 
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H. V. D. Parunak. Adaptive control of Distributed Agents through Pheromone Techniques and Interactive Visualization. 2000. Web page, www.erim.org/cec/projects/adaptiv/.
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H. V. D. Parunak, M. Purcell, and R. O'Connell. Digital Pheromones for Autonomous Coordination of Swarming UAV's. In Proceedings of First AIAA Unmanned Aerospace Vehicles, Systems,Technologies, and Operations Conference, pages (forthcoming), AIAA, 2002.
 
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E. Rimon and D. E. Kodischek. Exact Robot Navigation Using Artificial Potential Functions. IEEE Transactions on Robotics and Automation, 8(5 (October)):501--518, 1992.
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CITED BY  9

Collaborative Colleagues:
H. Van Dyke ParunaK: colleagues
Sven Brueckner: colleagues
John Sauter: colleagues