Selected papers of the Second Workshop on Concurrency and compositionality
Ant-like agents for load balancing in telecommunications networks
AGENTS '97 Proceedings of the first international conference on Autonomous agents
General principles of learning-based multi-agent systems
Proceedings of the third annual conference on Autonomous Agents
Network configuration management in heterogeneous ATM environments
IATA '98 Proceedings of the second international workshop on Intelligent agents for telecommunication applications
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
A Spreading Activation Network for Action Selection
Intelligent Autonomous Systems 2, An International Conference
Towards Multi-Swarm Problem Solving in Networks
ICMAS '98 Proceedings of the 3rd International Conference on Multi Agent Systems
The architecture of the future wireless internet
AINTEC'05 Proceedings of the First Asian Internet Engineering conference on Technologies for Advanced Heterogeneous Networks
WAC'05 Proceedings of the Second international IFIP conference on Autonomic Communication
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This paper describes how multiple interacting swarms of adaptive mobile agents can be used to locate faults in networks. The paper proposes the use of distributed problem solving using learning mobile agents for fault finding. The paper uses a recently described architectural description for an agent that is biologically inspired and proposes chemical interaction as the principal mechanism for inter-swarm communication. Agents have behavior that is inspired by the foraging activities of ants, with each agent capable of simple actions; global knowledge is not assumed. The creation of chemical trails is proposed as the primary mechanism used in distributed problem solving arising from the self-organization of swarms of agents. Fault location is achieved as a consequence of agents moving through the network, sensing, acting upon sensed information, and subsequently modifying the chemical environment that they inhabit. Elements of a mobile code framework that is being used to support this research, and the mechanisms used for agent mobility within the network environment, are described.