IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Intelligent Agents in Decision Support Systems

Intelligent Agents in Decision Support Systems
View Sample PDF
Author(s): Gloria E. Phillips-Wren (Loyola College in Maryland, USA)
Copyright: 2008
Pages: 9
Source title: Encyclopedia of Decision Making and Decision Support Technologies
Source Author(s)/Editor(s): Frederic Adam (University College Cork, Ireland)and Patrick Humphreys (London School of Economics, UK)
DOI: 10.4018/978-1-59904-843-7.ch058

Purchase

View Intelligent Agents in Decision Support Systems on the publisher's website for pricing and purchasing information.

Abstract

Internet-based, distributed systems have become essential in modern organizations. When combined with artificial intelligence (AI) techniques such as intelligent agents, such systems can become powerful aids to decision makers. These newer intelligent systems have extended the scope of traditional decision support systems (DSSs) to assist users with real-time decision making, multiple information flows, dynamic data, information overload, time-pressured decisions, inaccurate data, difficult-to-access data, distributed decision making, and highly uncertain decision environments. As a class, they are called intelligent decision support systems (IDSSs).

Related Content

Yu Bin, Xiao Zeyu, Dai Yinglong. © 2024. 34 pages.
Liyin Wang, Yuting Cheng, Xueqing Fan, Anna Wang, Hansen Zhao. © 2024. 21 pages.
Tao Zhang, Zaifa Xue, Zesheng Huo. © 2024. 32 pages.
Dharmesh Dhabliya, Vivek Veeraiah, Sukhvinder Singh Dari, Jambi Ratna Raja Kumar, Ritika Dhabliya, Sabyasachi Pramanik, Ankur Gupta. © 2024. 22 pages.
Yi Xu. © 2024. 37 pages.
Chunmao Jiang. © 2024. 22 pages.
Hatice Kübra Özensel, Burak Efe. © 2024. 23 pages.
Body Bottom