This document provides an overview of key concepts in artificial intelligence including definitions of AI, subfields and problems, types of agents, and related careers. It discusses definitions of AI that focus on thinking and acting like humans or thinking and acting rationally. It also outlines several subfields and problems in AI such as reasoning and problem solving, knowledge representation, planning, learning, natural language processing, robotics, computer vision, and speech recognition. The document concludes by listing different types of agents from reflex agents to goal-based and utility-based agents and providing examples of AI-related careers.

2.  AI Definitions
 Sub-Fields & Problems
 Agents and their types
 AI-related Careers
 References

4. 1.Think like Humans
"[The automation of] activities that we "The exciting new effort to make
associate with human thinking, activities computers think ... machines with
such as decision-making, problem minds, in the full and literal sense."
solving, learning ..." (Bellman, 1978) (Haugeland, 1985)

5. 2.Act like Humans
"The art of creating machines that per- "The study of how to make computers
perform functions that require do things at which, at the moment,
intelligence when performed by people are better." (Rich and Knight,
people." (Kurzweil, 1990) 1991)

6. 3.Think Rationally
"The study of the computations that "The study of mental faculties through
make it possible to perceive, reason, the use of computational models."
and act.“ (Winston, 1992) (Charniak and McDermott, 1985)

7. 4.ACT Rationally
"AI ... is concerned with intelligent be- "Computational Intelligence is the
behavior in artifacts." (Nilsson, 1998) study of the design of intelligent
agents.“ (Poole etal, 1998)

9. Reasoning & Problem Solving
•Some Problems require enormous •AI helps reducing this …
amount of memory and processing time

10. Knowledge Representation
•How Can I teach what I understand to •A Mild Question !
the computer ?

11. Planning
•Two Types of Planning ! •Online & offline !

12. Learning
•Types of Learning ! •Supervised, Unsupervised and
•Neural Networks Reinforcement Learning !

13. Natural Language Processing
•Thousands of languages for the •This will lead to marvelous
computer to understand yet. contributions

14. Robotics
•Most Visible AI application •Hmm nice fight !

15. Computer Vision
•Understand what a photo says ! •Or a Video !

16. Speech Recognition
•You just order. •Can you hear me ?

17. Social Intelligence
•All kinds of Emotions … •But still no soul !

18. Creativity
•How ??? •Most people think its impossible …

19. General Intelligence
•Smarter than Man ? •Towards the Singularity !
•The Matrix
•The Power of Forgetting Nothing !

21. Reflex Agents

22. Model - Reflex Agents

23. Model Based GOAL-Based Agents

24. Model– Based Utility-Based Agents

26. Knowledge Engineer
Expert System s Developer
Robotics System Engineer
Game AI Developer
Game Play Developer
Lisp Programmer

27. Natural Language Processing Architect
Computational Linguist
Business
Intelligence Data Miner
Expert Database Analyst
Data Warehouse Architect
Prolog Programmer
Search Engineer
Data Conversion Engineer

28. Computer Vision Engineer Visual Computing Expert
Speech Architect
Artificial Intelligence Researcher
Web Intelligence Developer

29.  Artificial Intelligence – A Modern
Approach – Stuart Russell and Peter
Norvig
 Omar’s Brain
www.omarsbrain.wordpress.com
 Linkedin.com
 Wikipedia