Knowledge Language A **knowledge representation language is a formal system used encode information about world a way that computer system can utilize to solve complex tasks. It provides a structured syntax and semantics for expressing facts, rules, and among entities. **Examples - First-order logic - networks - Frames --- # AxiomAn **axiom** is a foundational statement or proposition in a knowledge base that is assumed to be true without proof. Aoms as the starting point for reasoning and inference. Example:** - "All humans mortal." - "If it rains, the ground gets wet." --- #umpus World The **Wumpus World** is a simple, grid-based environment used in artificial intelligence to illustrate logic-based agent reasoning and decision. Environment Description - It consists of a x4 grid of rooms. - rooms contain pits (danger), one contains theumpus (monster), one contains gold. - The agent starts in a fixed and must find gold avoiding dangers. The agent perceives: - **Breeze**: Adjacent to pits. - **Stench**: Adjacent to the Wumpus. - **Glitter**: In the same room as the gold. ## Wus World Diagram ```plaintext +---+---+---+---+ | | | W | ++---+---+---+ | P | | +---++---+---+ | | | +---+---++---+ A | G | +---+---+---+---``` **Legend:** - `A`: Agent start position -W`: Wumpus-P`: Pit- `G`: Gold * text: Diagram of a4x4 grid showing agent (A) in bottom-left, (G), pit (), and Wumpus (W) in different cells--- ## Key Points - The Wumpus World used to demonstrate logical reasoning- Knowledge is represented using (axioms) about perceptions. - Agents theseoms infer safe paths and locate the gold.