Intelligent Agents in Decision Support Systems

2011 ◽  
pp. 857-866 ◽  
Author(s):  
Gloria E Phillips-Wren

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).

Author(s):  
Gloria E. Phillips-Wren

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).


Author(s):  
L. B. CAO ◽  
R. W. DAI

Decision making plays a more and more important role in present society, especially in dealing with open complex giant systems, such as macroeconomic decision making. A feasible and effective approach for dealing with the increasingly remarkable decision making problems, in particular open complex giant systems, is to construct a Hall for Workshop of Metasynthetic Engineering (HWME), which is essentially an open giant intelligent decision support system in itself. On the other hand, the emergent agent technology is proposed and popularized as a new computing paradigm for building complex software systems. In this paper, we first briefly introduce the principle of metasynthetic engineering and the HWME in terms of decision support, and propose the network-based hierarchical model of an HWME. Furthermore, we discusse the design idea of agent-oriented metasynthetic engineering for decision support systems. We discuss the design scheme, the framework and the working mechanism of an HWME based on intelligent agents in Java which took the macroeconomic decision making as an instance. In addition, we further examine the fundamental problem of designing agent-oriented open giant intelligent decision support systems. The suitability and challenges of the present agent-oriented abstractions for open giant intelligent systems are further analyzed. Then, we propose the concept of societal abstraction for agent-oriented open giant intelligent systems, which is based on the following hypothesis: a unified mechanism — societal interactions, organizational schemes and component patterns, and multi-agent society. Our preliminary study reveals that the agent-oriented metasynthetic engineering is valid and powerful for decision making of open complex giant systems.


2020 ◽  
Vol 18 (3) ◽  
pp. 5-18
Author(s):  
Vladimir R. Kuzmin ◽  
Yury A. Zagorulko

Recently, the concept of intelligent energy systems becomes more popular in Russia. In order to implement such systems, it is required both development and usage of modern information technologies to manage technological infrastructure, and upgrade of this infrastructure. In turn, infrastructure upgrade requires a strategic decision-making for energy sector development. To provide a high quality of such decisions, intellectualization of the process of making them is required. This article deals with usage of agent-service approach for development of intelligent decision support systems (IDSS). Concepts of agent and multiagent system are being considered. Detailed description of agentservice approach and architecture of a typical IDSS, used in this approach, is provided. Also, article considers usage of agent-service approach for development of IDSS “Situation polygon” (for strategic decision-making support in energy sector) and web-oriented information-analytical system WIS (for impact assessment of the energy sector on geoecology). In the future, we plan to add additional functionality in these systems, in particular, to provide in the “Situation polygon” an automatic setting of the values of connections in cognitive maps based on the values of connections in the ontology, and to add in WIS the possibility of calculating the trajectory of the transfer of harmful substances.


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