1. PSU CS 370 – Artificial Intelligence Dr. Mohamed Tounsi Artificial Intelligence 1. Introduction Dr. M. Tounsi

2. PSU CS 370 – Artificial Intelligence Dr. Mohamed Tounsi Definition (4 categories) n Systems that think like humans n Systems that act like human n Systems that think rationally (right thing) n Systems that act rationally (right thing)

3. PSU CS 370 – Artificial Intelligence Dr. Mohamed Tounsi Human  Rationality n Human approach  Hypothesis  Experimental confirmation n Rationalist approach  Mathematics  Engineering

4. PSU CS 370 – Artificial Intelligence Dr. Mohamed Tounsi Definitions n Thinking Humanly  Cognitive modeling approach: which brings together computer models from AI and experimental techniques from psychology n 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. PSU CS 370 – Artificial Intelligence Dr. Mohamed Tounsi n Thinking rationally  Logic ( A is X and all X are Y then A is Y) Problems: - not all informal knowledge state it into formal terms n Acting rationally (intelligent agents)  Doing the right thing  Maximize the goal achievement, given information  Doesn’t necessary involve thinking  It involve solving Definitions

6. PSU CS 370 – Artificial Intelligence Dr. Mohamed Tounsi Foundations of AI n Philosophy n Mathematics l Probabilistic l Logical l Algorithms l NP-Complete Problems n Computer Engineering (makes AI applicable) l Processor Speed l large memory