Semantic error diagnostic process for multi-agent systems
AssigneeMitel Corporation
InventorsBernard Pagurek, Daniel Choi, Tom Gray, Serge Manvoksi
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AssigneeMitel Corporation
InventorsBernard Pagurek, Daniel Choi, Tom Gray, Serge Manvoksi
Estimating the term…
A method and apparatus for automatically locating sources of semantic error in a multi-agent system based on setup connection tree information, and informing the appropriate agents so that they can avoid using the faulty resources in the future. The setup connection tree model is established based on patterns of agent actions for expressing the logical relationship between available resources in the disjunctive normal form (d.n.f.). A table is used to record different sets of resources for use in the resource selection process. Thus, faulty resources can be located by means of induction. A global database is also maintained for updating information on semantic errors in the system.
Apparatus for automatically locating sources of semantic error in a multi-agent system having an application agent with a head portion and a body portion for initiating an application in response to a service request and one or more underlying agents and resources for implementing said application, comprising:
A method for automatically locating sources of semantic error in a multi-agent system having an application agent with a head portion and a body portion for initiating an application in response to a service request and one or more underlying agents and resources for implementing said application, comprising the steps of:
Dependencies are inferred from the claim text.