AI Lect 1 Introduction and types of AI.pdf
- 1. Discipline Computer Science Lecturer Khalil Marwat Dept of Computer Science GPGC Lakki Marwat Lecture 1 Subject Artificial Intelligence
- 2. Syllabus For Mid Exam Week Topics 1 Introduction: Introduction to AI, Basic Component of AI 2 Identifying AI systems, branches of AI, etc 3 Reasoning and Knowledge Representation: Introduction to Reasoning and Knowledge Representation, Propositional Logic, First order Logic 4 Problem Solving by Searching: Informed searching, Uninformed searching, Local searching 5 Constraint Satisfaction Problems 6 Adversarial Search: (Min-max algorithm) 7 Alpha Beta Pruning, Game-playing 8 Learning: Unsupervised learning 9 Mid Term Examination
- 3. Syllabus For Final Exam Week Topics 10 Supervised Learning, Reinforcement Learning 11 Uncertainty Handling: Uncertainty in AI, Fuzzy logic 12 Expert Systems 13 Introduction to machine learning 14 Apriori algorithm 15 Association rules 16 FP Tree 17 Naïve Bayes Classification 18 Terminal Examination
- 4. Definition ( What is AI ) • The study of computer systems that attempt to model and apply the intelligence of the human mind. • A branch of Computer Science dealing with the simulation of intelligent behaviour in computers. • The capability of a machine to imitate intelligent human behaviour.
- 6. Artificial intelligence Introduction • Artificial intelligence (AI) technology allows computers and machines to simulate human intelligence and problem-solving tasks. • In the 1960s by the United States Department of Defence when it trained computers to mimic human reasoning.
- 7. What exactly AI is , And why are we so excited about it? • Artificial intelligence is the science of making machines that can think like humans. It can do things that are considered "smart." • AI technology can process large amounts of data in ways, unlike humans. The goal for AI is to be able to do things such as recognize patterns, make decisions, and judge like humans.
- 8. Machine Learning • A subset of artificial intelligence is machine learning (ML), a concept that computer programs can automatically learn from and adapt to new data without human assistance.
- 9. Types of Artificial Intelligence
- 11. Narrow AI • Also known as Weak AI, this system is designed to carry out one particular job. • Weak AI systems include video games like personal assistants like Amazon's Alexa and Apple's Siri. • Users ask the assistant a question, and it answers it for you.
- 14. General AI • This type includes strong artificial intelligence systems that carry on the tasks considered to be human- like. • They tend to be more complex and complicated and can be found in applications like self-driving cars or hospital operating rooms.
- 21. History of Artificial Intelligence • Artificial Intelligence is not a new word and not a new technology for researchers. This technology is much older than you would imagine. Even there are the myths of Mechanical men in Ancient Greek and Egyptian Myths. Following are some milestones in the history of AI which defines the journey from the AI generation to till date development.