Artificial Intelligence

Fundamental of Artificial Intelligence history motivation and need of AI Production systems Characteristics of production systems goals and contribution of AI to modern technology search space different search techniques hill Climbing Best first Search heuristic search algorithm A* and AO* search techniques

Knowledge Representation Problems in representing knowledge knowledge representation using propositional and predicate logic comparison of propositional and predicate logic Resolution refutation deduction theorem proving inferencing monotonic and non-monotonic reasoning.

Probabilistic reasoning Baye's theorem semantic networks scripts schemas frames conceptual dependency forward and backward reasoning.

Game playing techniques like minimax procedure alpha-beta cut-offs planning Study of the block world problem in robotics Introduction to understanding natural language processing (NLP) Components of NLP application of NLP to design expert systems.

Expert systems (ES) and its Characteristics requirements of ES components and capability of expert systems Inference Engine Forward & backward Chaining Expert Systems Limitation Expert System Development Environment technology Benefits of Expert Systems.