Artificial Intelligence (AI) for Beginners
Course Content
Fundamentals of Artificial Intelligence (AI)
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1. What is Artificial Intelligence (AI)?
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2. Motivation for AI
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3. Need for AI
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Key Features of AI
Production Systems in Artificial Intelligence
Search Space in AI
Search Techniques in AI
Best-First Search
Heuristic Search Algorithms
Knowledge Representation in AI
Knowledge Representation Using Propositional Logic
Knowledge Representation Using Predicate Logic
Comparison: Propositional Logic vs Predicate Logic
Reasoning and Problem Solving in AI
Refutation
Deduction
Theorem Proving
Inferencing
Monotonic vs Non-Monotonic Reasoning
Probabilistic Reasoning
Semantic Networks
Scripts, Schemas, and Frames
Conceptual Dependency
Forward and Backward Reasoning
Game Playing Techniques in AI
Planning in AI
The Block World Problem in Robotics
Introduction to Natural Language Processing (NLP)
Expert Systems (ES) and Its Characteristics
Inference Engine: Forward & Backward Chaining
Limitations of Expert Systems
Expert System Development Environment
Technology Used in Expert Systems
Benefits of Expert Systems
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