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INTRODUCTION
TO AI KNOWLEDGE: Importance of AI, Knowledge Base System Knowledge
organization & manipulation, Conceptual Introduction to LISP and
other AI programming Languages.
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KNOWLEDGE
REPRESENTATION: Syntax Semantics, Inference Rules, Non deductive
Inference methods, and representation using rules, forward chaining
and backward chaining. Fuzzy Logic & Natural. languages
computations. Probabilistic Reasoning. Object Oriented
Representations.
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KNOWLEDGE
ORGANIZATION & MANIPULATION: Search & control strategies,
matching techniques, knowledge organization & management, Genetic
Algorithms based search techniques.
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KNOWLEDGE
SYSTEMS ARCHITECTURE: Rule based, non-production, uncertainly
knowledge system building tools.
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KNOWLEDGE
ACQUISITION: General concepts,, learning by induction.
Recommended
Books:
-
AI
& ES -Dan W Patterson, Prentice Hall of India.
-
Luger-
Artificial intelligence, Pearson Education.
-
Jackson.
Introduction Expert Systems. Pearson Education.
-
Rich
& Knight -Artificial Intelligence. Tata Mc-Graw Hill
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