Proceedings of the ninth annual ACM-SIAM symposium on Discrete algorithms
Tools and techniques for performance measurement of large distributed multiagent systems
AAMAS '03 Proceedings of the second international joint conference on Autonomous agents and multiagent systems
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
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
Service-Based Computing on Manets: Enabling Dynamic Interoperability of First Responders
IEEE Intelligent Systems
Quorum sensing on mobile ad-hoc networks
AAMAS '06 Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems
A distributed fault identification protocol for wireless and mobile ad hoc networks
Journal of Parallel and Distributed Computing
An ecological approach to agent population management
AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 1
The AI technologies of the Philadelphia area urban wireless network testbed
AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 4
| Hi-index | 0.00 |
As mobile computing becomes ubiquitous, Mobile Ad Hoc Networks are becoming increasingly important. MANETs allow for a bring-your-own-network solution to rescue workers at natural-disaster locations, where traditional networking infrastructure is not likely to exist. As a design paradigm, multiagent systems (MASs) can help support management and coordination of such environments. The complex, ever-changing environments of MANETs pose difficult challenges to a MAS. Dependable agents must be environment-aware with the ability to reason about a constant flow of complex data, including network state and feedback of system performance. The MAS must be adaptive and self-stabilizing to ensure dependable operation.