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Empowering Modern Managers: Towards an Agent-Based Decision Support System

Empowering Modern Managers: Towards an Agent-Based Decision Support System

ISBN13: 9781591401346|ISBN10: 1591401348|EISBN13: 9781591401353
DOI: 10.4018/978-1-59140-134-6.ch012
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MLA

Vahidov, Rustam. "Empowering Modern Managers: Towards an Agent-Based Decision Support System." Organizational Data Mining: Leveraging Enterprise Data Resources for Optimal Performance, edited by Hamid Nemati and Christopher D. Barko, IGI Global, 2004, pp. 170-187. https://doi.org/10.4018/978-1-59140-134-6.ch012

APA

Vahidov, R. (2004). Empowering Modern Managers: Towards an Agent-Based Decision Support System. In H. Nemati & C. Barko (Eds.), Organizational Data Mining: Leveraging Enterprise Data Resources for Optimal Performance (pp. 170-187). IGI Global. https://doi.org/10.4018/978-1-59140-134-6.ch012

Chicago

Vahidov, Rustam. "Empowering Modern Managers: Towards an Agent-Based Decision Support System." In Organizational Data Mining: Leveraging Enterprise Data Resources for Optimal Performance, edited by Hamid Nemati and Christopher D. Barko, 170-187. Hershey, PA: IGI Global, 2004. https://doi.org/10.4018/978-1-59140-134-6.ch012

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Abstract

This chapter discusses recent advances in the use of agent technology in Decision Support Systems (DSSs) and introduces a model for an agent-based DSS. The chapter analyzes the modern requirements for the nature of decision support and argues in favor of adopting active situated paradigm as the basis for building DSS. The benefits of agent technology are highlighted in relation to the desired features of DSS and the past research in this direction is reviewed and systematically categorized. The description of an agent-based DSS elaborating on the architecture of the system and the potential use of data mining techniques is then introduced. The approach is illustrated with an agent-based DSS for investment decisions. The chapter informs the readers about the state of art in agent-based DSS, and provides a framework that can be used as a reference model in future research in the area.

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