Asiantuntijajärjestelmä

Asiantuntijajärjestelmä, often translated as expert system, is a type of artificial intelligence program designed to mimic the decision-making ability of a human expert. It operates by using a knowledge base and an inference engine. The knowledge base contains facts and rules related to a specific domain, typically compiled from human experts. The inference engine is the core of the system, applying logical rules to the knowledge base to derive conclusions or provide recommendations.

These systems are characterized by their ability to explain their reasoning, a feature crucial for building trust and understanding with users. They are used in a wide array of applications, including medical diagnosis, financial planning, industrial troubleshooting, and customer service. The development process involves identifying domain experts, extracting their knowledge, and encoding it into a format the system can process.

While expert systems were a significant development in AI, their application has evolved. Modern AI approaches, such as machine learning, often achieve similar or superior results with less explicit knowledge engineering. However, the principles behind expert systems, particularly in their structured approach to knowledge representation and reasoning, continue to influence the field of artificial intelligence. They remain valuable in situations where transparency and explainability of decisions are paramount.