1. Artificial Intelligence
1. Introduction
Dr. M. Tounsi

2. Definition (4 categories)
Systems that think like humans
Systems that act like human
Systems that think rationally (right thing)
Systems that act rationally (right thing)

3. Human  Rationality Human approach Rationalist approach Hypothesis
Experimental confirmation
Rationalist approach
Mathematics
Engineering

4. Definitions Thinking Humanly
Cognitive modeling approach: which brings together computer models from AI and experimental techniques from psychology
Acting Humanly: The Turing test (1950) by Alan Turing
Imitation Game
Operational test for intelligent behavior
Computer should be interrogated by a human
Computer should possess:
Natural language processing (to communicate) – knowledge representation (to store information) – automated reasoning (to answer questions and draw new conclusion) – machine learning (to adapt new circumstances and to detect and extrapolate patterns)

5. Definitions Thinking rationally Acting rationally (intelligent agents)
Logic ( A is X and all X are Y then A is Y)
Problems:
- not all informal knowledge state it into formal terms
Acting rationally (intelligent agents)
Doing the right thing
Maximize the goal achievement, given information
Doesn’t necessary involve thinking
It involve solving

6. Foundations of AI Philosophy Mathematics
Probabilistic
Logical
Algorithms
NP-Complete Problems
Computer Engineering (makes AI applicable)
Processor Speed
large memory