mca Syllabus

Intelligent Systems
Code: MCA303
CONTACTS: 3L + 1 T
CREDITS: 4

Overview of Artificial intelligence- Problems of AI, AI technique, Tic – Tac – Toe problem.
Problems, Problem Space & search.
Heuristic Search Techniques,
Knowledge representation issues.
Representing knowledge using rules.
Symbolic reasoning under uncertainty.
Statistical reasoning.
Weak slot & filler structures.
Strong slot & filler structures.

Game planning –Minimax search procedure, adding alpha beta cut-off’s, iterative deepening,
Planning.
Natural language processing, Understanding.
Learning – induction & explanation based learning.
Expert systems- expert system shells, knowledge acquisition.
Basic knowledge of programming language like Prolog & Lisp.

Books:
1.Artificial Intelligence, Ritch & Knight, TMH
2.Introduction to Artificial Intelligence & Expert Systems, Patterson, PHI
3.Logic & Prolog Programming, Saroj Kaushik, New Age International
4.Expert Systems, Giarranto, VIKAS