With the advent of e-systems; business and consumers have access to a plethora of information which makes the decision making process more complex. The overwhelming information flow makes it extremely difficult for decision makers to analyze the available data and make precise decisions. Under such an information intensive online environment, businesses need to make real time intelligent decisions in order to stay economically and commercially viable. Multi agent systems have the inherent ability to facilitate provision of an adequate decision support mechanism in an e-business setting. These multi –agent decision support systems are of particular assistance in processing large amounts of data, filtering out irrelevant information and eliminating cognitive biases. In this study, we attempt to explore the existing decision support mechanisms facilitating the e-business environment with respect to B2B and B2C segments. Several models have been proposed and implemented to assist decision support in e-systems. We attempt to identify possible weaknesses in these models and pin point future research areas that would provide an opportunity for improved decision support mechanisms in e-systems.
1.1 Agents, Distributed Artificial Intelligence and Multi-Agents
With the advent of computer systems, there has been a significant progress in terms of framing online transactions processing systems. These systems are programmed to carry out specific activities which are restricted to facilitation of online transaction processing only and do not assist in the decision making process as they lack the “intelligence” which is the basic essence of the modern decision support systems. OLTP systems only help autom...
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