Artificial Intelligence
- Lecture Notes, Study Materials and Important questions answers

Subject : Artificial Intelligence

INTRODUCTION TO Al AND PRODUCTION SYSTEMS

1. What is Artificial intelligence(AI)? - Answer (click here)
2. Production System - Answer (click here)

REPRESENTATION OF KNOWLEDGE

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

KNOWLEDGE INFERENCE

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

PLANNING AND MACHINE LEARNING

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

EXPERT SYSTEMS

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