What are expert systems in ICT?
What are expert systems in ICT?
An expert system is computer software that attempts to act like a human expert on a particular subject area. Expert systems are often used to advise non-experts in situations where a human expert in unavailable (for example it may be too expensive to employ a human expert, or it might be a difficult to reach location).
What is expert system?
An expert system is an intelligent computer program that uses knowledge and inference procedures to solve problems that are difficult enough to require significant human expertise for their solution. Context: Every expert system consists of two principal parts: the knowledge base and the inference engine.
What is expert system example?
Examples of Expert Systems MYCIN: It was based on backward chaining and could identify various bacteria that could cause acute infections. DENDRAL: Expert system used for chemical analysis to predict molecular structure. PXDES: An Example of Expert System used to predict the degree and type of lung cancer.
What is expert system and how it works?
An expert system (ES) is a knowledge-based system that employs knowledge about its application domain and uses an inferencing (reason) procedure to solve problems that would otherwise require human competence or expertise.
What are the types of expert system?
There are five basic types of expert systems. These include a rule-based expert system, frame-based expert system, fuzzy expert system, neural expert system, and neuro-fuzzy expert system. A rule-based expert system is a straightforward one where knowledge is represented as a set of rules.
What is expert system advantages and disadvantages?
Unlike humans who often have trouble adapting to new environments, an expert system has high adaptability and can meet new requirements in a short period. It also can capture new knowledge from an expert and use it as inference rules to solve new problems.
What is the function of expert system?
In artificial intelligence, an expert system is a computer system that emulates the decision-making ability of a human expert. Expert systems are designed to solve complex problems by reasoning through bodies of knowledge, represented mainly as if-then rules rather than through conventional procedural code.
Which is the application of expert system?
Applications of Expert Systems
| Applications | Role |
|---|---|
| Process Control Systems | Controlling physical processes based on monitoring. |
| Knowledge Domain | Finding faults in vehicles or computers. |
| Commerce | Detection of possible fraud Suspicious transactions Stock market trading Airline scheduling, Cargo scheduling. |
Which is advantage of expert system?
What are the 4 advantages of expert systems?
Expert Systems can:
- Provide answers for decisions, processes and tasks that are repetitive.
- Hold huge amounts of information.
- Minimize employee training costs.
- Centralize the decision making process.
- Make things more efficient by reducing the time needed to solve problems.
- Combine various human expert intelligences.
What is the definition of an expert system?
expert system. Share this item with your network: An expert system is a computer program that uses artificial intelligence (AI) technologies to simulate the judgment and behavior of a human or an organization that has expert knowledge and experience in a particular field.
Why are ICT expert systems cheaper than human experts?
They cannot make judgments and lack common sense. More knowledge than a single human expert (combine the knowledge of many experts). Errors in the rule base can lead to incorrect decisions being made. Cheaper to use than hiring very expensive human experts to solve your problems. Require lots of training before people can use them correctly.
How are expert systems created in IGCSE ICT?
How are expert systems created? Expert systems are set up in 5 steps (using 3 components). These steps can be abbreviated to IKIUT: Experts in a field are interviewed and their knowledge is collected. All of the knowledge collected from the experts is organised and stored in the knowledge base.
How is knowledge gathered in an expert system?
Experts are interviewed and their knowledge is gathered and put into a knowledge base. Knowledge from human experts is entered into the system and stored. People using the expert system can then question it (query) and access this stored knowledge.