Artificial Intelligence [CSE Department]

Artificial Intelligence [CSE Department]

Artificial Intelligence

INTRODUCTION TO Al AND PRODUCTION SYSTEMS

1. What is Artificial intelligence(AI)?
2. Production System

REPRESENTATION OF KNOWLEDGE

1. Game playing
2. Iterative Deepening
3. Knowledge Representation
4. Predicate Calculus
5. Predicate Logic
6. AI Resolution: Definition and Principle
7. Structured Represntation of Knowledge

KNOWLEDGE INFERENCE

1. Knowledge Representation
2. Framework of Knowledge Representation (Poole 1998)
3. Knowledge Representation Schemes
4. Issues in Knowledge Representation
5. KR Using Predicate Logic
6. KR Using Rules

PLANNING AND MACHINE LEARNING

1. Planning and Machine Learning
2. Symbolic Reasoning
3. Statistical Reasoning
4. Probability and Bayes� Theorem
5. Certainty Factors in Rule-Based Systems
6. Bayesian Networks and Certainty Factors
7. Dempster - Shafer Theory (DST)
8. Fuzzy Logic

EXPERT SYSTEMS

1. Expert System
2. Expert System Characteristics
3. Expert System Features
4. Knowledge Acquisition
5. Knowledge Base (Representing and Using Domain Knowledge)
6. Inference Engine
7. Expert System Shells
8. Explanation - Expert System
9. Application of Expert Systems