Rule-based systems often prompt the user with a series of questions, leading to a suggestion or conclusion. This is particularly helpful in natural language queries and searches for information in free-form text. For example, a physician wanted to search through surgical reports to find patients with a similar set of problems or conditions. Fuzzy AI technology can search through this free-form text, and identify reports that contain similar information.
Neurons can also change and adapt, as the data and information changes.
Neural network technology is often used, for example, in speech recognition and optical character recognition systems. This more advanced AI technology mimics the way that living organisms automatically change and mutate in response to the environment. Genetic functions are often used in combination with other forms of AI technology. This mimics the way that the human brain applies an arsenal of different tools that operate to solve problems. ACS systems often combine AI techniques in this way, using the different strengths of each AI technology to create better solutions.