t explore the types and some of their features and functions. However, to understand them first we need to know what they are.Intelligent Decision Support Systems: This is a new paradigm for the DSS area. These extend the applicability and functionality beyond those traditionally covered by DSS applications and utilize a range of advanced technologies. The main role of an Intelligent Decision Support System in an organization is as an enabler for knowledge processing with communications capabilities. The approach, unlike traditional approaches in DSS, is that it does not focus merely on managerial decision-making, but attempts to reflect organizational realities. These systems usually consist of database which has a software interface designed to aid the researcher/decision maker with the information required to make an informed decision based on past events and experiences. Expert Systems: This is a research system that does just that, research. These systems use current information to make logical guesses and extrapolations about something unknown. These first appeared in the engineering field and other physical sciences, these computer systems dramatically decrease the time required to take a product or idea from concept to execution by running simulations within itself, locating problems, refining the model, and repeating these steps, gradually working the bugs out of the system.Expert Systems are computer programs designed to review a set of facts (market conditions) and apply a set of rules (knowledge base) to arrive at the same conclusion that a team of experts would make if presented with the same facts. Artificial Intelligence: Generally Artificial Intelligence (AI) is the discipline of building intelligence into computers. The term, AI, refers to a machines capability of processing data and responding with humanlike intelligence. They are essentially the Expert System taken to its next logical level of evolution.Arti...
