What are the types of expert system ?

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1. Rule-Based Expert Systems

Rule-based expert systems are knowledge-based systems that use a set of rules to infer conclusions from a set of facts. These systems are usually designed to solve specific kinds of problems, such as making medical diagnoses, and are often called "expert systems." The rules are based on the knowledge of experts in the particular area, and the system will draw on this knowledge to make decisions or solve problems.

2. Neural Networks

Neural networks are computer systems modeled after the structure of the human brain. They are designed to learn from experience and to recognize patterns in data. Neural networks are used in many different applications, from recognizing handwritten words to predicting stock prices.

3. Genetic Algorithms

Genetic algorithms are computer programs that use the principles of natural selection to evolve solutions to problems. The algorithms are designed to mimic the process of evolution, with solutions that are found by randomly mutating and recombining existing solutions.

4. Fuzzy Logic

Fuzzy logic is a form of artificial intelligence that is based on the idea that the world is not always black and white, but can be fuzzy and uncertain. Fuzzy logic systems are designed to handle uncertain and imprecise information, such as natural language, and to make decisions based on this information.

 

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Introduction

Expert systems are a type of artificial intelligence technology that mimics the decision-making abilities of a human expert. Expert systems are computer programs that use knowledge-based techniques to solve complex problems. They are used to provide advice, assistance, and guidance to users in decision making. Expert systems, knowledge-based systems, AI, decision-making

Types of Expert Systems

Expert systems can be classified into two main types: rule-based expert systems and case-based expert systems.

Rule-Based Expert Systems

Rule-based expert systems are based on a set of rules that are used to solve a problem. These rules are derived from the knowledge of an expert. The rules are written in a language that the computer can understand. The rules are then used to solve the problem. The rules are written in a way that allows the system to make decisions based on the data it has been given. Rule-based expert systems, rules, knowledge-based

Case-Based Expert Systems

Case-based expert systems are based on a set of cases that have been solved by an expert. The system uses the cases to make decisions based on similar situations. The cases are stored in a database and are used to provide advice and guidance to the user. The system can also learn from the cases and use the knowledge to make better decisions. Case-based expert systems, cases, database

Conclusion

Expert systems are a type of artificial intelligence technology that can provide valuable advice and assistance to users in decision making. They can be classified into two main types: rule-based expert systems and case-based expert systems. Rule-based expert systems are based on a set of rules derived from the knowledge of an expert, while case-based expert systems are based on a set of cases that have been solved by an expert.