Introduction: Definitions and approaches, Foundation of A.I. , Challenges
in AI, Area and Applications of A.I., Intelligent Agents:meaning, types,
Problem Solving: Problem solving as state space search, production
system, writing production system and solution for a Water jug problem;
some AI classical problems (statements only) cannibal missionaries, tower
of Hanoi, tic tac toe, 8-puzzle, Search techniques: Breadth First, and
Depth-first, Best-First Search, Hill-climbing, Heuristics, A* algorithm, local
and global maxima(minima).
Knowledge Representation and Reasoning: Predicate and prepositional
logic, conversion of sentences to wffs of predicate logic, Resolution, clause
form, Skolem functions, Unification, Resolution in Propositional and
predicate logic, Semantic Nets.
Pattern Recognition: Meaning of pattern, Pattern Recognition,
Classification, Supervised & Unsupervised Learning of classifiers, K-NN, KMEANS algorithms.
Expert Systems: Introduction, Advantages, components and participants
in an expert system, Application
1. Artificial Intelligence: E. Rich and K. Knight, Tata McGraw Hill.
2. Artificial Intelligence: A New Synthesis By Nilsson, Morgan Kaufmann.
3. Pattern Classification 2nd Edition By R.O. Duda, Hart, Stork (2001)
,John Wiley, New York.
4. Pattern Recognition : Technique and Applications By Shinghal (2006)
,Oxford University Press, New
By Mr. UMESH KUMAr, MCA (ggU) PAgE | 2