| Digital pheromone mechanisms for coordination of unmanned vehicles |
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International Conference on Autonomous Agents
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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 1D: self-organizing systems
table of contents
Pages: 449 - 450
Year of Publication: 2002
ISBN:1-58113-480-0
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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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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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CITED BY 9
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Yasushi Ando , Yoshiaki Fukazawa , Osamu Masutani , Hirotoshi Iwasaki , Shinichi Honiden, Performance of pheromone model for predicting traffic congestion, Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems, May 08-12, 2006, Hakodate, Japan
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H. Van Dyke Parunak , Sven Brueckner , Robert Matthews , John Sauter , Steve Brophy, Real-time agent characterization and prediction, Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems, May 14-18, 2007, Honolulu, Hawaii
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