Connectionist expert system

Connectionist expert systems are computer systems used to solve complex problems. They work by using algorithms to process information and suggest possible solutions using an artificial neural network. The network makes predictions based on relationships between data, much like the way humans learn by observing and forming connections between events and experiences. Connectionist systems can solve complex problems quickly and accurately because they can identify patterns and develop an understanding of the problem faster than human experts.