A knowledge hierarchy model for adaptive multi-agent systems
by Liang Xiao, Des Greer
International Journal of Computer Applications in Technology (IJCAT), Vol. 31, No. 1/2, 2008

Abstract: Adaptivity in software is important since business processes, business rules and business terms constantly evolve. A radical solution is described that makes use of the inherent adaptivity of software agents. The Adaptive Agent Model (AAM) represents business knowledge in a hierarchical structure consisting of a business concepts layer, a business rules layer, and a business processes layer. Collectively, these form a knowledge base sourced from the business requirements, that is available to running agents. Such externalised knowledge is easily maintained. Using a case study, the knowledge hierarchy is described and its contribution to the goal of software adaptivity assessed.

Online publication date: Thu, 27-Mar-2008

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