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Locating semantic error sources in a multi-agent system
Locating semantic error sources in a multi-agent system
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机译:在多主体系统中定位语义错误源
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摘要
A method and apparatus for automatically locating sources of semantic error in a multi-agent (ASB0/SB-ASBT/SB) system based on performance tests using setup connection tree information, and informing the appropriate agents so that they can avoid using error-producing 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 (RSB0/SB-RSBY/SB) in the disjunctive normal form (d.n.f.). A table is used to record different sets of resources for use in a resource selection process. Thus, error-producing resources can be located by means of induction. A global database is also maintained for updating information on semantic errors in the system. A semantic error is a fault which can only be discovered when a performance discrepancy is detected by an application agent (ASB0/SB) during the operation of the application.
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机译:基于使用设置连接树信息的性能测试在多智能体(A 0 SB> -A T SB>)系统中自动定位语义错误来源并通知的方法和装置适当的代理,以便他们将来可以避免使用产生错误的资源。建立连接树模型是基于代理操作的模式建立的,用于以析取范式(dnf)表示可用资源(R 0 SB> -R Y SB>)之间的逻辑关系。表用于记录资源选择过程中使用的不同资源集。因此,可以通过归纳来定位产生错误的资源。还维护了一个全局数据库,用于更新有关系统中语义错误的信息。语义错误是一种错误,只有在应用程序运行期间由应用程序代理(A 0 SB>)检测到性能差异时,才能发现该错误。
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