Expert Systems
EXPERT SYSTEMS What is an expert system?
The most recent addition to the circle of information systems is the expert system. Expert systems are associated with an area of research known as artificial intelligence. We introduced expert systems and artificial intelligence in the World of computers.” Artificial intelligence is the ability of a computer to reason, to learn, to strive for self-improvement, and to simulate human sensory capabilities. Like the DSS, expert systems are computer-based systems that help managers resolve problems or make better decisions. However, an expert system does this with a decidedly different twist. It is an interactive computer-based system that responds to questions, asks for clarification, makes recommendations, and generally helps the user in the decision-making process. In effect, working with an expert system is much like working directly with a human expert to solve a problem because the system mirrors the human thought process. It even uses information supplied by a real expert in a particular field such as medicine, taxes, or geology. An expert system applies preset IF-THN rules to solve a particular problem, such as determining a patient’s illness. Like management information systems and decision support systems, expert systems rely on factual knowledge, but expert systems also rely on heuristic knowledge such as intuition, judgment, and inferences. Both the factual knowledge and the heuristic rules of thumb are acquired from a domain expert, an expert in a particular field, such as jet engine repair, life insurance, or property assessment. The expert system uses this human-supplied knowledge to model the human taught process within a particular area of experience .Once completed, a knowledge-based system can approximate the logic of a well-informed human decision maker. Technically speaking; an expert system is the highest form of a knowledge-based system. In practice, the terms expert system and knowledge-based systems
The most recent addition to the circle of information systems is the expert system. Expert systems are associated with an area of research known as artificial intelligence. We introduced expert systems and artificial intelligence in the World of computers.” Artificial intelligence is the ability of a computer to reason, to learn, to strive for self-improvement, and to simulate human sensory capabilities. Like the DSS, expert systems are computer-based systems that help managers resolve problems or make better decisions. However, an expert system does this with a decidedly different twist. It is an interactive computer-based system that responds to questions, asks for clarification, makes recommendations, and generally helps the user in the decision-making process. In effect, working with an expert system is much like working directly with a human expert to solve a problem because the system mirrors the human thought process. It even uses information supplied by a real expert in a particular field such as medicine, taxes, or geology. An expert system applies preset IF-THN rules to solve a particular problem, such as determining a patient’s illness. Like management information systems and decision support systems, expert systems rely on factual knowledge, but expert systems also rely on heuristic knowledge such as intuition, judgment, and inferences. Both the factual knowledge and the heuristic rules of thumb are acquired from a domain expert, an expert in a particular field, such as jet engine repair, life insurance, or property assessment. The expert system uses this human-supplied knowledge to model the human taught process within a particular area of experience .Once completed, a knowledge-based system can approximate the logic of a well-informed human decision maker. Technically speaking; an expert system is the highest form of a knowledge-based system. In practice, the terms expert system and knowledge-based systems