Knowledge-based agents use structured domain knowledge plus inference to reason, unlike pattern-only models. In domains like legal or medical research, they combine rule bases (fact trees, logic) with probabilistic reasoning to offer explainable decisions. This hybrid architecture improves transparency and trust compared to opaque neural approaches.