Artificial Intelligence with Core Concepts and Fundamentals

Forward chaining is an inference technique used in Artificial Intelligence where reasoning starts from known facts and applies rules repeatedly to derive new facts until a goal is reached. It is a data-driven approach that moves step-by-step from given information toward conclusions.

1. Unification is a process in First Order Logic (FOL).

2. It makes two logical expressions identical.

3. Achieved by substituting variables with constants or terms.

4. Widely used in Artificial Intelligence and automated reasoning.

First Order Logic (FOL), also called Predicate Logic, is a formal system used to represent and reason about objects, their properties, and relationships between them. It is more expressive than propositional logic because it can talk about individual objects and quantities

Resolution is a logical method used to validate statements by showing that assuming the negation of a statement leads to a contradiction. In simple terms, instead of proving something directly, we assume it is false and check whether it creates inconsistency.

the clear step-by-step description of the resolution graph- Negate Likes(John, Peanut). Resolve with rules to derive ¬Food(Peanut), then infer Killed(Anil, Peanut). Contradiction with ¬Killed(Anil, Peanut) proves the statement true using resolution method.

The objective of the Wumpus World is for an intelligent agent to use percepts and logical reasoning to find the gold, avoid dangers such as pits and the Wumpus, and return safely to the starting position while maximizing its performance score.

Machine Learning, one of the most important areas of Artificial Intelligence. Machine Learning enables computers to learn from data and improve their performance without being explicitly programmed. It is widely used in applications such as recommendation systems, speech recognition, autonomous vehicles, healthcare, and finance.