CS40027: Artificial Intelligence
| CS40027 | |
|---|---|
| Course name | Artificial Intelligence |
| Offered by | Computer Science & Engineering |
| Credits | 3 |
| L-T-P | 3-0-0 |
| Previous Year Grade Distribution | |
| {{{grades}}} | |
| Semester | Autumn |
Syllabus
Syllabus mentioned in ERP
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 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.References1.Stuart Russell and Peter Norvig, Artificial Intelligence: A Modern Approach, Prentice-Hall.2.Nils J. Nilsson, Artificial Intelligence: A New Sythesis, Morgan-Kaufmann.