Exception diagnosis architecture for open multi-agent systems
International Workshop on Software Engineering for Large-Scale Multi-agent Systems, 2006•Springer
Abstract Multi-Agent Systems (MAS) are collection of loosely coupled intelligent agents.
These systems operate in a distributed, highly dynamic, unpredictable and unreliable
environment in order to meet their overall goals. Agents in such an environment are
vulnerable to different types of run time exceptions. It is necessary to have an effective
exception diagnosis and resolution mechanism in place in order to ensure reliable
interactions between agents. In this paper, we propose novel exception diagnosis …
These systems operate in a distributed, highly dynamic, unpredictable and unreliable
environment in order to meet their overall goals. Agents in such an environment are
vulnerable to different types of run time exceptions. It is necessary to have an effective
exception diagnosis and resolution mechanism in place in order to ensure reliable
interactions between agents. In this paper, we propose novel exception diagnosis …
Abstract
Multi-Agent Systems (MAS) are collection of loosely coupled intelligent agents. These systems operate in a distributed, highly dynamic, unpredictable and unreliable environment in order to meet their overall goals. Agents in such an environment are vulnerable to different types of run time exceptions. It is necessary to have an effective exception diagnosis and resolution mechanism in place in order to ensure reliable interactions between agents. In this paper, we propose novel exception diagnosis architecture for open MAS. The proposed architecture classifies the runtime exceptions and diagnoses the underlying causes of exceptions using a heuristic classification technique. The proposed architecture is realised in terms of specialised exception diagnosing agents known as sentinel agents. The sentinel agents act as delegates of problem solving agents and mediate interactions between them.
Springer
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