Machine Learning
Inducing grammars from sparse data sets: a survey of algorithms and results
The Journal of Machine Learning Research
Communication management using abstraction in distributed Bayesian networks
AAMAS '06 Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems
A decentralized ant-inspired approach for resource management and discovery in grids
Multiagent and Grid Systems - Special Issue on Nature inspired systems for parallel, asynchronous and decentralised environments
Constructing agents blackboard communication architecture based on graph theory
Computer Standards & Interfaces
A bibliographical study of grammatical inference
Pattern Recognition
Grid management support by means of collaborative learning agents
GMAC '09 Proceedings of the 6th international conference industry session on Grids meets autonomic computing
Multi-agent based classification using argumentation from experience
Autonomous Agents and Multi-Agent Systems
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Service oriented systems need to be maintained to keep the requestedlevel of service. This is challenge in large grid- and saas based networks that aremanaged by numerous entities. This paper is about supporting multi agent systemsthat operate in the network and support its management by learning actualstructures from life observed logging data. We focus on a collaborative grammarinduction mechanism in which agents share local models in order toretrieve a model of the structure of the total service network. We studied theperformance of groups of agents while varying the size and degree of communication.We motivate the application of the mechanism in the domain of serviceoriented system and show the results of experiments using a distributedagent-based monitoring system. We promote further research in the overlappingscientific disciplines of multi agent systems and machine learning in the applicationdomain of service oriented systems.