An Evolutionary Distributed Agent System: A Framework and Application to Manufacturing Design and Control

In Lee and Chandra S. Amaravadi
Additional contact information
In Lee: School of Computer Sciences, College of Business and Technology, Western Illinois University, Macomb, IL, USA
Chandra S. Amaravadi: School of Computer Sciences, Western Illinois University, Macomb, IL, USA

International Journal of Knowledge-Based Organizations (IJKBO), 2016, vol. 6, issue 3, 28-44

Abstract: Information systems are subject to change from the environment. If systems are to be used beyond their initial purpose as conceived during the requirements definition stage, they must be designed to evolve. One approach to evolutionary complexity is to make systems dynamically configurable so that they can exhibit new behavior in the face of environmental change. In this paper, the authors propose a distributed agent approach to information systems development in order to overcome the inherent inflexibility of the agent systems developed with a traditional systems development methodology. They apply the framework to the development of alternative agent systems for manufacturing process design and scheduling problems. Through a simulation experiment, the authors demonstrate that the fit between the information system and its environment is one of the most important design considerations for the development of the evolutionary distributed agent system.

Date: 2016
References: Add references at CitEc
Citations:

Downloads: (external link)
http://services.igi-global.com/resolvedoi/resolve. ... 018/IJKBO.2016070102 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:igg:jkbo00:v:6:y:2016:i:3:p:28-44

Access Statistics for this article

International Journal of Knowledge-Based Organizations (IJKBO) is currently edited by John Wang

More articles in International Journal of Knowledge-Based Organizations (IJKBO) from IGI Global
Bibliographic data for series maintained by Journal Editor ().