The computational beauty of nature
The computational beauty of nature
Fundamentals of fault-tolerant distributed computing in asynchronous environments
ACM Computing Surveys (CSUR)
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
The Adaptive Agent Architecture: Achieving Fault-Tolerance Using Persistent Broker Teams
ICMAS '00 Proceedings of the Fourth International Conference on MultiAgent Systems (ICMAS-2000)
Network Awareness for Mobile Agents on Ad Hoc Networks
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 1
Probabilistically survivable MASs
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
Network meta-reasoning for information assurance in mobile agent systems
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
GA-based parameter tuning for multi-agent systems
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
Stability and control of agent ecosystems
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
An ecological approach to agent population management
AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 1
| Hi-index | 0.00 |
The problem of maintaining a desired number of mobile agents on a network is not trivial, especially if we want a completely decentralized solution. Decentralized control makes a system more robust and less susceptible to partial failures. The problem is exacerbated on wireless ad hoc networks where host mobility can result in significant changes in the network size and topology. In this paper we propose an ecology-inspired approach to the management of the number of agents. The approach associates agents with living organisms and tasks with food. Agents procreate or die based on the abundance of uncompleted tasks (food). We performed a series of experiments investigating properties of such systems and analyzed their stability under various conditions. We concluded that the ecology based metaphor can be successfully applied to the management of agent populations on wireless ad hoc networks.