1.1 What is Artificial Intelligence?
"The science and engineering of making intelligent machines."
— John McCarthy (Father of AI)
Simple Definition:
Artificial Intelligence (AI) is a branch of computer science concerned with creating machines that behave and think like humans — capable of learning, reasoning, problem solving, and adapting.
1.2 Human vs Machine Intelligence
| Aspect | Human Intelligence | Artificial Intelligence |
|---|---|---|
| Learning | Learns from experience | Learns from data (ML) |
| Emotions | Has emotions | No emotions |
| Adaptability | Highly adaptable | Limited to programming/data |
| Speed of computation | Slower | Super fast for large tasks |
| Memory & recall | Prone to forgetting | Can store massive amounts |
| Creativity | Intuitive, creative | Can generate but lacks intuition |
1.3 Goals of AI
- Automation of cognitive tasks — reasoning, learning, planning
- Creating intelligent agents that perceive and act in an environment
- Understanding human intelligence through machine simulation
- Solving real-world problems in robotics, NLP, vision, and healthcare
1.4 Major Domains of AI
| Domain | Description | Examples |
|---|---|---|
| Search | Solving problems by exploring possibilities | Chess, pathfinding |
| Knowledge Representation | Storing facts and rules the system can reason with | FOL, semantic nets |
| Planning | Choosing a sequence of actions to reach a goal | Robot delivery, logistics |
| Reasoning & Logic | Drawing conclusions from known facts | Theorem proving, decision making |
| Machine Learning | Learning patterns from data | Face recognition, spam filter |
| Natural Language Processing | Understanding and generating human language | ChatGPT, Google Translate |
| Robotics | Perception, movement, and decision making in physical space | Self-driving cars, drone AI |
| Vision | Interpreting visual input from the world | OCR, image classification |
1.5 Types of AI (Based on Capabilities)
| Type | Description | Example |
|---|---|---|
| Narrow AI | Can perform one specific task intelligently | Siri, Google Maps, Netflix Rec. |
| General AI | Can perform any cognitive task a human can (hypothetical) | Not yet achieved |
| Super AI | Surpasses human intelligence (theoretical future) | Not achieved yet |
1.6 Techniques Used in AI
- Rule-based systems — IF-THEN rules
- Search algorithms — BFS, DFS, A*, UCS
- Logic & inference — FOL, propositional logic
- Machine learning — supervised, unsupervised, reinforcement
- Neural networks — deep learning models for patterns
- Heuristics — approximations for fast decisions
- Constraint satisfaction — CSPs like Sudoku, map coloring
1.7 Real-World Applications of AI
| Application Area | Use of AI |
|---|---|
| Healthcare | Diagnosis support, drug discovery |
| Finance | Fraud detection, stock prediction |
| Education | Adaptive learning systems, intelligent tutors |
| Gaming | AI opponents, game pathfinding (minimax) |
| Security | Surveillance systems, facial recognition |
| Transportation | Self-driving cars, traffic prediction |
| Customer Service | Chatbots, virtual assistants like Alexa/Siri |
| Retail | Personalized recommendations |
1.8 Subfields of AI (Mind Map Style)
ARTIFICIAL INTELLIGENCE
|
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| | | | |
Search Knowledge Logic Machine Learning Robotics
Strategies Representation & Reasoning | |
| | | Deep Learning Vision
| | | Neural Nets Sensors
BFS, DFS, A* FOL, Rules Inference Supervised ML Navigation
1.9 Frequently Asked Exam Questions
- Define Artificial Intelligence. Mention any three of its subfields.
- Explain how AI is used in medical diagnosis and customer service.
- Differentiate between Narrow AI, General AI, and Super AI.
- List five real-world applications of AI with the domain and task performed.