What is expert system life cycle in AI?
Topics covered are the following: problem identification phase, feasibility study phase, project planning phase, knowledge acquisition phase, knowledge representation phase, knowledge implementation phase, verification and validation, installation/transition/ training, operation/evaluation/maintenance.
Which is the stage of expert system development life cycle?
Steps to Develop an Expert System: Step1: Identification: Determining the characteristics of the problem. Step2: Conceptualization: Finding the concept to produce the solution. Step3: Formalization: Designing structures to organize the knowledge. Step4: Implementation: Formulating rules which embody the knowledge.
What is expert system?
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.
What is expert system with example?
Examples of Expert Systems Following are the Expert System Examples: MYCIN: It was based on backward chaining and could identify various bacteria that could cause acute infections. It is one of the best Expert System Example. DENDRAL: Expert system used for chemical analysis to predict molecular structure.
What are the different steps in expert system design?
However, an examination of these five stages may serve to provide us with some insight into the ways in which expert systems are developed.
- Stage # 1. Identification:
- Stage # 2. Conceptualisation:
- Stage # 3. Formalisation (Designing):
- Stage # 4. Implementation:
- Stage # 5.
How does an expert system work?
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.
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.