A knowledge hierarchy model for adaptive multi-agent systems Online publication date: Thu, 27-Mar-2008
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.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Computer Applications in Technology (IJCAT):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email subs@inderscience.com