knowledge representation and reasoning in artificial intelligence
Knowledge Representation and Reasoning in Artificial Intelligence Semantic Net , Frames Knowledge representation and reasoning are two important aspects of artificial intelligence (AI) that deal with how knowledge can be represented in a computer and how logical reasoning can be applied to that knowledge to solve problems. There are several ways to represent knowledge in AI, including logic, semantic networks, and frames. Logic-based representation is a way of representing knowledge using mathematical logic, such as propositional logic or first-order logic. This approach involves creating a set of rules or axioms that define the relationships between different objects or concepts, and then using logical inference to derive new knowledge from these rules. Semantic networks are another way of representing knowledge in AI. In a semantic network, concepts are represented as nodes, and the relationships between concepts are represented as edges. This allows for comple