8 types of ANI systems
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1. Rule-based systems:
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Designed to follow a set of predetermined rules to perform a specific task.
2.
Expert systems :
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diagnosing medical conditions or identifying the best course of action in a given situation.
3.
Decision-tree systems:
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Use a tree-like structure to make decisions based on a set of predetermined rules.
4.
Artificial neural networks:
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Inspired by the way the human brain works, these AI systems can recognize patterns and make decisions based on that information.
5.
Genetic algorithms:
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Use principles of genetics and natural selection to improve performance over time.
6.
Evolutionary computation:
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Uses principles of evolution and natural selection to adapt and improve performance.
7.
Fuzzy logic systems:
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Use fuzzy logic, a type of logic that allows for the representation of uncertain or imprecise information to make decisions.
8.
Bayesian networks:
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Use probabilistic reasoning to make decisions based on uncertain or incomplete information.