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B.Tech. IT 8th Sem Subject: Artificial Intelligence and Expert Systems
UNIT - 1 Introduction AI definition, Structure, Application, Production systems - state space search, Control strategies, Search methods: Heuristic search, Forward and backward reasoning, Hill climbing techniques, Breadth first search, Depth first search, Best search, Game playing.
UNIT - 2 Formal Methods Predicate logic, Resolution question-answering, Alpha-beta pruning, Mini-max search, Statistical and probabilistic reasoning, Informal Methods : Rule based system, Frames and scripts, Semantic Nets, Conceptual dependency, Conceptual graphs.
UNIT - 3 Reasoning Automated reasoning, Monotonic & Nonmonotonic Reasoning, Default Logic, Probabilistic reasoning, Bayesian Network, Confidence factor, System Interface.
AI languages: Important characteristics of AI languages, PROLOG, LISP.
UNIT - 4 Introduction to Expert Systems Structure of an Expert system, Interaction with an expert, Expert system shell, Design of an Expert system, Hardware & software components of Expert system, Application of Expert system in various fields.
UNIT - 5 Neural Network Basic structure of a neuron, Perception, Feed forward, Feed back network, Recurrent network, Associative Network: Hopfield, Radial Basis function network, Self organising network.
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