What form of logic allows reasoning with degrees of truth rather than binary true/false values?

Fuzzy logic is the correct answer because it is designed to handle the concept of partial truth, where truth values can range between completely true and completely false. This contrasts with traditional binary logic systems, where statements are either true or false. In fuzzy logic, degrees of truth are expressed, which allows for more nuanced reasoning and decision-making that more closely resembles human reasoning.

This is particularly useful in situations where information is imprecise or uncertain, as real-world scenarios often involve ambiguity. By employing fuzzy logic, systems can make decisions based on varying degrees of confidence, rather than being constrained to a strict true/false dichotomy. This flexibility enables better modeling of complex systems, such as those found in AI applications, where human-like reasoning is required.