Network autonomous learning system that allows computers to...

Data processing: artificial intelligence – Neural network

Reexamination Certificate

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Details

C714S026000, C714S048000

Reexamination Certificate

active

07739207

ABSTRACT:
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.

REFERENCES:
patent: 2004/0019637 (2004-01-01), Goodman et al.
Lesser et al., “Functionally Accurate, Cooperative Distributed Systems”, 1981.
Barbuceanu et al., “Capturing and Modeling Coordination Knowledge For Multi-Agent Systems”, 1996.
Tajibnapis, “A Correctness Proof of a Topology Information Maintenance Protocol for a Distributed Computer Network”, 1977.
Lesser et al., Functionally Accurate, Cooperative Distributed Systems, 1981.
Tajibnapis, A Correctness Proof of a Topology Information Maintenance Protocol for a Distributed Computer Network, 1977.
Barbuceanu et al., Capturing and Modeling Coordination Knowledge For Multi-Agent Systems, 1996.

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