Which concept is primarily used to handle uncertainty in intelligent systems?

What type of reasoning examines hypothetical scenarios to make decisions in intelligent systems?

Which of the following describes the relationship between concepts in a structured format within knowledge representation?

In intelligent systems, which method is used to find satisfactory solutions through trial-and-error rather than perfect accuracy?

Which of the following describes a system's ability to maintain and update its knowledge base about truth values over time?

Which approach is used in intelligent systems to evaluate vague data that cannot be easily classified as true or false?

Which method in intelligent systems is primarily concerned with the use of previously acquired knowledge to make informed guesses or decisions?

Which concept in intelligent systems allows for varying degrees of truth to be represented in decision-making processes?

What is the primary purpose of ontology in the context of intelligent systems?

In intelligent systems, which type of reasoning does NOT necessarily follow strict rules, allowing for more flexible decision-making based on context?