päättelymoottoriin

Päättelymoottori, or inference engine in English, is a core component of an artificial intelligence system. Its primary function is to derive new information or conclusions from existing knowledge. This knowledge is typically stored in a knowledge base, which can contain facts, rules, and other relevant data. The inference engine uses logical reasoning processes to apply these rules to the facts, thereby generating new, unstated conclusions.

There are several types of inference engines, with forward chaining and backward chaining being the most common. Forward chaining starts with known facts and applies rules to deduce new facts until a desired goal is reached or no further deductions can be made. Backward chaining, on the other hand, begins with a hypothesis or goal and works backward to find the facts that would support it.

Inference engines are crucial for expert systems, decision support systems, and other AI applications where automated reasoning is required. They enable systems to go beyond simple data retrieval and engage in a form of problem-solving. The efficiency and accuracy of a päättelymoottori are critical factors in the overall performance of an AI system. Its ability to process complex logical relationships and handle uncertainty also plays a significant role in its effectiveness.