päätelmämoottorin

Päätelmämoottori, or inference engine, is a component of an artificial intelligence system that applies logical rules to knowledge represented in a knowledge base to deduce new information. It is the reasoning part of an expert system, a type of AI designed to mimic the decision-making ability of a human expert.

The core function of a päätelmämoottori is to process facts and rules. Facts are statements about the world, while rules are conditional statements that link facts together. When a päätelmämoottori encounters a new fact, it checks if this fact can satisfy the conditions of any of its rules. If a rule's conditions are met, the engine executes the rule's conclusion, which can be a new fact, a recommendation, or an action.

There are two main types of inference engines: forward-chaining and backward-chaining. Forward-chaining starts with known facts and applies rules to derive new facts until a goal is reached or no more rules can be applied. It is often used in situations where the system needs to predict outcomes based on current data. Backward-chaining starts with a hypothesis or goal and works backward, searching for facts and rules that support that goal. This is useful for diagnostic systems or when trying to prove a specific point.

Päätelmämoottorit are fundamental to many AI applications, including expert systems, diagnostic tools, and automated reasoning systems. They enable AI to move beyond simple data retrieval and engage in logical deduction, making them a crucial element in creating intelligent systems.