A survey of agent-oriented software engineering for service-oriented computing
International Journal of Web Engineering and Technology
Using quantitative analysis to implement autonomic IT systems
ICSE '09 Proceedings of the 31st International Conference on Software Engineering
Model driven development of multi-agent systems with repositories of social patterns
ESAW'06 Proceedings of the 7th international conference on Engineering societies in the agents world VII
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Agent based systems and architectures provide afirm foundation for design and development of anautonomic system. The key challenge is the selectionand efficient use of effective agent architecture. Amodel-driven approach accommodates the underlyingarchitecture to automate, as much as possible, thedevelopment process. The Cognitive AgentArchitecture (COUGAAR) is a distributed agentarchitecture that provides the primary components andan implementation platform for this research.COUGAAR has been developed primarily for verylarge-scale, distributed applications that arecharacterized by hierarchical task decompositions andas such is well suited for autonomic systems. Wepropose a framework for the agent-based, model-drivenarchitecture for autonomic applicationsdevelopment. The framework consists of two mainparts, General COUGAAR Application Model(GCAM) and General Domain Application Model(GDAM). Some COUGAAR related performanceissues are also discussed.