Application of Multi-agent Technology to Information Systems: An Agent-based Design Architecture for Decision Support Systems

Authors

  • Hao Lan Zhang Victoria University

DOI:

https://doi.org/10.3127/ajis.v15i2.24

Keywords:

DSS, intelligent agents, multi-agent DSS, open DSS framework

Abstract

One of the most difficult issues in building efficient Information Systems (IS) is the integration of these systems with the organization’s other systems. This issue is particularly acute for Decision Support Systems (DSSs). To become more effective and efficient, a DSS must have an open structure to adapt to the dynamic environment. However, current IS, especially DSSs, tend to rely excessively on traditional System Development Life Cycle (SDLC) and this places limitations on current systems’ infrastructures. The emergence of multi-agent technology addresses this issue and its applications to IS are becoming highly efficient. In this paper, we introduce a Matrix-Agent connection design, called Agent based Open Connectivity for Decision Support Systems (AOCD), which balances the manageability and flexibility in a system and maximizes system performance.

Author Biography

Hao Lan Zhang, Victoria University

Hao Lan Zhang is currently a third-year PhD student in the School of Computer Science and Mathematics at Victoria University. He received the Master of Information Systems degree and the Master of Business Administration degree from Central Queensland University, Australia, in 2002 and 2003, respectively. His research papers have appeared in some journals, such as Journal of Systems Science and Systems Engineering and Journal of Computer and System Sciences. His research interests include multi-agent systems and decision support systems.

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Published

2009-05-01

How to Cite

Zhang, H. L. (2009). Application of Multi-agent Technology to Information Systems: An Agent-based Design Architecture for Decision Support Systems. Australasian Journal of Information Systems, 15(2). https://doi.org/10.3127/ajis.v15i2.24

Issue

Section

Research Articles