Introduction
Intelligence and AI; Thinking and acting humanly or rationally; History and foundations of AI.
B.Sc. CSIT - Fourth Semester
Intelligence and AI; Thinking and acting humanly or rationally; History and foundations of AI.
Agents and environments; Types of agents; PEAS; PAGE model.
State space; Problem formulation; Search strategies; Uninformed and informed search.
Importance; Issues; KR systems; Properties; Representational methods.
Supervised, unsupervised, and reinforcement learning; Naive Bayes; ML concepts.
Expert systems; Components; Knowledge base; Inference engine; Development of expert systems.