UNIT 1:
Problem solving by searching
Uninformed (Breadth-first search & Depth-first search) and informed strategies
Programming Without and with AI
Difference between Human and Machine Intelligence
UNIT 2:
Rationality-Ideal Rational Agent
Structure of Intelligent Agents
Architecture for Intelligent Agents
Properties of Environment
UNIT 3:
Single Agent Pathfinding Problems
Informed (Heuristic) Search Strategies
Fuzzy Logic Systems Architecture
Application Areas of Fuzzy Logic
Example of a Fuzzy Logic System
Search Terminology- Brute-Force Search Strategies
UNIT 4:
Difficulties in NLU- NLP Terminology
Steps in NLP- Implementation Aspects of Syntactic Analysis
Expert Systems- Capabilities of Expert Systems
Components of Expert Systems- Knowledge Base
Inference Engine- User Interface
Expert Systems Limitations- Applications of Expert System
Development of Expert Systems: General Steps