7 CS 4-ARTIFICIAL INTELLIGENCE |
Units: I |
Meaning and definition of artificial intelligence, Various types of production systems, Characteristics of production
systems, Study and comparison of breadth first search and depth first search. Techniques, other Search Techniques like hill
Climbing, Best first Search. A* algorithm, AO* algorithms etc, and various types of control strategies.
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Units: II |
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. |
Units: III |
Probabilistic reasoning, Baye's theorem, semantic networks scripts schemas, frames, conceptual dependency and fuzzy logic,
forward and backward reasoning.
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Units: IV |
Game playing techniques like minimax procedure, alpha-beta cut-offs etc, planning, Study of the block world problem in
robotics, Introduction to understanding and natural languages processing.
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Units: V |
Introduction to learning, Various techniques used in learning, introduction to neural networks, applications of neural
networks, common sense, reasoning, some example of expert systems.
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