Artificial Intelligence

Contents

1. Introduction to Artificial Intelligence
1. Introduction to AI
1.1 The History of Artificial Intelligence
1.2 Early Works in AI
2. Comparison of AI, Machine Learning, Deep Learning
3. Applications of AI
4. AI Techniques
5. Intelligent Agents, Agents and Environment, Structure of Agents
5.1 Intelligent Agents
5.2 Agent and Environment
5.3 Structure of an Agent
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.  Problems –Missionary Cannibal Problem, Block Words Problem, Monkey & Banana  Problem
3. Searching Algorithms
1. Uninformed Search Algorithm/Blind Search Techniques
1.1 Breadth-First Search
1.2 Depth First Search
2. Informed (Heuristic) Search Techniques
2.1 Heuristic Search Technique-Generate and Test Algorithm
2.2 Hill Climbing
2.3 Best First Search
2.4 A* Algorithm
2.5 Problem Reduction
2.6 AO* Algorithm
2.7 Constraint Satisfaction
2.8 Mean-Ends Analysis
4. Knowledge Representation
1. Introduction
2. Knowledge Representations and Mapping
3. Approaches to Knowledge Representation
4. Propositional Logic
4.1  Propositional Logic, Syntax
4.2  Propositional Logic, Semantics
5.  Predicate Logic
5.1 Syntax of FOPL
5.2 Representing Simple Facts in Logic
5.3  Representing Instances and Is a Relationship
5.4 Computable Functions and Predicates
5.5  Resolution
5.6 Conversion to Clause Form
5.7 Resolution in Propositional Logic
5. Slot and Filler Structures
1. Introduction
2. Weak Structures
2.1 Semantic Network
2.2 Frames
3. Strong Structures
3.1 Conceptual Dependency CD
3.2 Scripts
6. Recent Trends in AI and Applications
1. Introduction to Machine Learning
2. Different Types of Machine Learning
2.1 Supervised Learning
2.2 Unsupervised Learning
2.3 Reinforcement Learning
3. Predictive Analytics (Weather Forecasting)
3.1 Linear Regression
3.2 Decision Tree
4. AI Powered Chatbot's (SBI Card Chatbot ILA)