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- W2374733124 abstract "Modern large enterprises often spread their activity to many places,even around the world. And to build DSS in complicated areas will involve various data and knowledge types, and the reasoning mode in this area. So, this paper proposes a Multi-agent Decision Support System (MADSS) model that integrates different knowledge types and has a task-driven learning ability. In this model,the system is composed of distributed subsystems, which are based on multi-agent technology and are independent and cooperative. The subsystems are composed of various agents of different functions and abilities who have CBR ability and task-driven learning ability which is based on KDD technology with evaluation mechanism to enhance its learning.Finally,we illustrate the model with a bank loan case." @default.
- W2374733124 created "2016-06-24" @default.
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- W2374733124 date "2004-01-01" @default.
- W2374733124 modified "2023-09-26" @default.
- W2374733124 title "A Model of Distributed Intelligent Multi-Agent Decision Support System" @default.
- W2374733124 hasPublicationYear "2004" @default.
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