Method for distributed autonomic learning and problem awareness and recovery over a pub/sub infrastructure

Autonomic learning agent(s) that identify and analyze errors, problems and potential problems, deduces possible solutions from a set of known rules, communicates with other systems on the network for addition information regarding potential solutions, and performs repairs based on the solution information gathered. The system can be used for identifying network-related or inter-computer communication problems that could not otherwise be identified from a single agent system. An exemplary agent includes three (3) major components: a task manager which controls the monitoring of the system or network and triggers alerts when a problem or potential problem is identified; a reason engine which contains the Artificial Intelligence (AI) system used for deducing possible automatable solutions for an identified problem; and a messaging interface which handles communication between agents. The system also reduces the amount of time administrators would spend identifying system or network problems by automating the problem-solving process.