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2003 Course - K. K. Wagh Education Society

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Knowledge representation using non monotonic logic:<br />

TMS (Truth maintenance system), statistical and probabilistic reasoning, fuzzy logic,<br />

structure knowledge representation, semantic net, Frames, Script, Conceptual<br />

dependency. 10 Hrs<br />

UNIT IV :<br />

Learning:<br />

What is Learning? Types of Learning (Rote , Direct instruction Analogy, Induction,<br />

Deduction)<br />

Planning:<br />

Block world, strips, Implementation using goal stack, Non linear planning with goal<br />

stacks, Hierarchical planning, least commitment strategy.<br />

7 Hrs<br />

UNIT V :<br />

Advance AI Topics<br />

Naturat Language Processing<br />

Introduction, Steps in NLP , Syntactic Processing , ATN, RTN, Semantic analysis,<br />

Discourse & Pragmatic Processing .<br />

Perception : Perception, Action, Robot Architecture,<br />

8 Hrs<br />

UNIT VI :<br />

Neural Networks:<br />

Introduction to neural networks and perception-qualitative Analysis. Neural net<br />

architecture and applications.<br />

Expert system:

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