Syllabus[edit | edit source]

Syllabus mentioned in ERP[edit | edit source]

Problem solving by search: state space, problem reduction, game playing, constraint satisfaction; Automated Reasoning: proposition and first order logic, inference and deduction, resolution refutation, answer extraction, knowledge based systems, logic programming(prolog) and constrained logic programming, non-monotonic reasoning; Planning: state-space, plan space and partial order planning, planning algorithms; Reasoning under Uncertainty: probabilistic reasoning, belief networks; Learning: inductive learning, decision trees, logical approaches, computational learning theory, Neural networks, reinforcement learning; Intelligent Agents; Natural Language Understanding; Applications.

Concepts taught in class[edit | edit source]

Student Opinion[edit | edit source]

How to Crack the Paper[edit | edit source]

The course is mostly theoretical, thus for the part comprising of planning, predicates etc, solving as many questions as we can is a must. Please go through previous years' question papers.

Classroom resources[edit | edit source]

Additional Resources[edit | edit source]

Class Test-1

Mid sem

End sem

Time Table[edit | edit source]