ABSTRACT
Utility theory is a concept that’s been around long before games or even computers. It has been used in game theory, economics, and numerous other fields. The core idea behind utility theory is that every possible action or state within a given model can be described with a single, uniform value. This value, usually referred to as utility, describes the usefulness of that action within the given context. When calculating utility scores, it’s important to be consistent. Because utility scores are compared to each other to come up with a final decision, they must all be on the same scale across the entire system. The key to decision making using utility-based artificial intelligence (AI) is to calculate a utility score for every action the AI agent can take and then choose the action with the highest score. A decision factor can be thought of as a single point of consideration for a decision.
