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.
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.