To learn the basic concepts of intelligent agentsknowledge-based systems to define propositional and predicate logic to construct the prolog programs to understand the strengths and limitations of various state-space search algorithmsand choose the appropriate algorithm for a problem, to understand probabilistic reasoning techniques and use them to solve problems with noiseincomplete informationand uncertainty to realize machine learning approachesneural network models to study how the genetic algorithms work to develop the fuzzy systems and to observe reinforcement learning.