A knowledge hierarchy model for adaptive multi-agent systems. (28th March 2008)

• Record Type: Journal Article
• Authors: Xiao, Liang; Greer, Des
• Is Part Of: International journal of computer applications technology. Volume 31:Number 1/2(2008)
• Page Start: 3
• Page End: 16
• Publication Date: 2008-03-28
• Subjects: software adaptivity -- software agents -- agent-oriented software engineering -- business rules -- business processes -- object-oriented -- OO -- software engineering -- requirements modelling -- knowledge engineering -- KE -- knowledge hierarchy models -- adaptive MAS -- multi-agent systems -- agent-based systems; Technology -- Data processing -- Periodicals; 620.00285
• Languages: English
• ISSNs: 0952-8091

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.