This course begins by explaining the thoughts and ideas that have developed the concept of artificial intelligence over the years. You will learn about different dimensions and approaches to artificial intelligence. You will be able to distinguish between artificial intelligence programming and other general computational paradigm. You will also learn about production systems, including how they capture the essence of artificial intelligence systems.

The course then introduces you to the concept of uniformed graph search in artificial intelligence. You will learn about generic search algorithms. You will learn how heuristics as a technique is used in solving problems in a faster and effective way. You will learn about formulating heuristic functions and the relationship between heuristics and artificial intelligence.

The course then explains how informed search strategies use task dependent information in solving problems. You will learn about the various types of heuristic search and factors that determine their suitability for use as a problem solving technique. You will also learn about how constraint satisfactions are used in solving problems in artificial intelligence.