Introduction to Artificial Intelligence (AI 304)-CSE (III) | RGPV

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• Syllabus

• Syllabus - Introduction to Artificial Intelligence (AI 304)

• Fundamental of Artificial Intelligence

• Introduction to AI
• Production Systems
• AI Contribution and Search Techniques

• Knowledge Representation

• Problems in Knowledge Representation
• Logic in Knowledge Representation
• Resolution, Refutation, Deduction and Theorem Proving
• Inferencing and Reasoning

• Probabilistic reasoning

• Baye's Theorem and Semantic Networks
• Scripts, Schemas and Conceptual Dependency
• Forward and Backward Reasoning

• Game playing techniques

• Minimax Procedure and Alpha-Beta Cut-offs
• Planning and Block World Problem
• Natural Language Processing (NLP)

• Expert systems (ES) and its Characteristics

• Requirements and Components of ES
• Inference Engine and Chaining
• Limitations and Development of ES
• Technology and Benefits of ES