CONTENTS

1. Introduction to Artificial Intelligence

1. Introduction

2. What is AI? 

3. Early Works in AI

4. AI and Related Fields  

5. The AI Problems  

6. AI Techniques    

7. Additional Problems

2. Problems, Problem Spaces and Search    

1. Introduction

2. Defining AI Problems as a State Space Search

3. Production Systems

4. Search and Control Strategies    

5. Problem Characteristics

6. Issues in the Design of Search Programs

7. Additional Problems

3. Heuristic Search Techniques 

1. Introduction

2. Hill Climbing    

3. Best First Search

4. Problem Reduction

5. Constraint Satisfaction

6. Mean- Ends Analysis

4. Knowledge Representation

1. Introduction

2. Knowledge Representations and Mapping  

3. Approaches to Knowledge Representation 

4. Propositional Logic    

5. Predicate Logic

5. Slot and Filler Structures  

1. Introduction

2. Frames 

3. Conceptual Dependency (CD)  

4. Scripts

5. CYC

6. Game Playing

1. Introduction

2. The Minimax Search Procedure

3. Adding Alpha Beta Cutoffs   

4. Uncertainty Reasoning

7. Learning    

1. Introduction

2. Rote Learning    

3. Learning by Taking Advice   

4. Learning in Problem Solving 

5. Learning from Examples: Induction

6. Winston’s Learning Program  

7. Explanation Based Learning (EBL)