Autonomous Case-Based Intelligent Systems

Autonomous Case-Based Intelligent Systems are advanced computer systems that learn and make decisions by analyzing past experiences or similar previous cases. They operate independently, using stored examples to solve new problems, much like how humans recall past situations to guide current decisions. These systems adapt over time, improving their accuracy and effectiveness without needing continuous human input, making them useful in areas like medical diagnosis, customer support, and troubleshooting. Their ability to learn from real-world examples allows them to handle complex, unfamiliar situations dynamically and efficiently.