Cited By
View all- Altshuler YYanovski VWagner IBruckstein A(2018)Multi-agent Cooperative Cleaning of Expanding DomainsInternational Journal of Robotics Research10.1177/027836491037724530:8(1037-1071)Online publication date: 30-Dec-2018
Physical parameter optimization in swarms of ultra-low complexity agents
Pages 1631 - 1634
Abstract
Physical agents (such as wheeled vehicles, UAVs, hovercraft, etc.) with simple control systems are often sensitive to changes in their physical design and control parameters. As such, it is crucial to evaluate the agent's control systems together with the agent's physical implementation. This can consequently lead to an explosion in the parameter space to be considered.
In this paper we investigate the use of swarms of ultra-low complexity agents, and address the issue of finding workable physical agent parameters. We describe a technique for reducing the dimensionality of the search space by performing evaluation tasks that can be used to predict near-optimal parameter values for agents in related multi-agent tasks. We validate our approach on an example task, and demonstrate that this technique can greatly reduce the computational resources required to design a multi-agent system.
References
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Aaron Slalom. http://www.cs.bham.ac.uk/research/projects/poplog/packages/simagent.html.
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C. Middendorff and M. Scheutz. Real-time evolving swarms for rapid pattern detection and tracking. In Proceedings of the 10th International Conference on the Simulation and Synthesis of Living Systems, Bloomington, IN, 2006.
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M. Scheutz, P. Schermerhorn, and P. Bauer. The utility of heterogeneous swarms of simple uavs with limited sensory capacity in detection and tracking tasks. In IEEE Swarm Intelligence Symposium 2005, 2005.
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Index Terms
- Physical parameter optimization in swarms of ultra-low complexity agents
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Information
Published In
May 2008
503 pages
ISBN:9780981738123
Sponsors
- ACM: Association for Computing Machinery
- AAAI: Association for the Advancement of Artifical Intelligence
Publisher
International Foundation for Autonomous Agents and Multiagent Systems
Richland, SC
Publication History
Published: 12 May 2008
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- Research-article
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AAMAS08
Sponsor:
- ACM
- AAAI
AAMAS08: 7th International Conference on Autonomous Agents and Multi Agent Systems
May 12 - 16, 2008
Estoril, Portugal
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Overall Acceptance Rate 1,155 of 5,036 submissions, 23%
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Cited By
View all- Altshuler YYanovski VWagner IBruckstein A(2018)Multi-agent Cooperative Cleaning of Expanding DomainsInternational Journal of Robotics Research10.1177/027836491037724530:8(1037-1071)Online publication date: 30-Dec-2018
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