COORDINATION IN MULTI-AGENT DECISION SUPPORT SYSTEM - Application to a Boiler Combustion Management System (GLZ)

Abstract

In Multi-agents systems, the cognitive capability present in an agent can be deployed to realize effective problem-solving by the combined effort of the system and the user. It offers the potential to automate a far wider part of the problem solving task than was possible with classical DSS. In this paper, we propose to integrate agents in a group decision support system. The resulting system, MADS is designed to support operators during contingencies. We experiment our system on a case of boiler breakdown to detect a functioning defect of the boiler (GLZ: Gas Liquefying Zone) to diagnose the defect and to suggest one or several appropriate cure actions. In MADS the communication support enhances communication and coordination capabilities of participants. A simple scenario is given, to illustrate the feasibility of the proposal.

Corporate Foresight for Corporate Functions: Impacts from Purchasing Functions

“…They describe technology systems such as web‐based information systems, process standards from Jabatan Kerja Raya Malaysia (JKRM), intelligent web‐based decision support systems, and applications of web‐based tendering processes (see Bharati and Chaudhury, ; Mohamad and Man, ; Mohamad et al ., ; Mohemad et al ., ). More recently, tendering processes have been designed and implemented applying intelligent agents, which are emerging technologies in DSS, and have been recognized as a flexible and efficient methodology to facilitate the development of DSS (Alias and Mohamad, ; Taghezout et al ., ).…”

“…Designing intelligent agents requires a systematic analysis of the agents’ environments (Alias and Mohamad, ). The combination of web services and software agents provides a promising computing paradigm for efficient service selection and integration of inter‐organizational business processes (Taghezout et al ., ). Eventually, all these technologies will be used to facilitate the understanding and communication of electronic tendering processes to stakeholders such as construction managers and contractors (Mohamad et al ., ).…”

A multi-agent-based model for distributed system processing

“…They represent a new way of analyzing, designing, and implementing complex software systems. In multiagent systems, communication is the basis for interactions and social organizations which enables the agents to cooperate and coordinate their actions (Reza et al, 2008;Taghezout et al, 2009).…”

“…The implementation of the prototype of the algorithm was based on the Bluetooth protocol. Taghezout et al (2009) proposed the integration of agents in a Cooperative Intelligent Decision Support System. The resulting system is designed to support operators during contingencies, where the operators will be able to gather information about the incident location, access databases related to the incident, activate predictive modeling programs, support analyses of the operator, and monitor the progress of the situation and action execution.…”

Tutoring and Multi-Agent Systems: Modeling from Experiences

“…The agents in the system autonomously plan and pursue their actions and sub-goals to cooperate, and coordinate to respond flexibly and intelligently to dynamic and unpredictable situations. There is a wide range of existing application domains that are making use of the agent paradigm and develop agent-based systems, for example, in software technology, robotics, and complex systems (Taghezout et al, 2009).…”