1. AI and Games by Lauren Argenio Russell Braun

2. Project Goals What AI is The basics of how it works How it is applied to games –In the past –Present –Future Methods used in game AI Create a simple tic-tac-toe game to serve as an example

3. Main concepts Artificial Intelligence- Intelligence exhibited by an artificial (non-natural, man-made) entity; The branch of computer science dealing with the reproduction or mimicking of human-level thought in computers. In short: Computers that can think like humans Strong AI- An AI that is greater than or equal to the intelligence of a human Weak AI- An AI that is “intelligent” only in very specific tasks. Also called “Applied AI”.

4. Useful definitions Turing test- If a computer acts as intelligently as a human, then it can be considered as intelligent as a human. Cognitive Science- The science of how humans think and learn.

5. Useful definitions Turing test- If a computer acts as intelligently as a human, then it can be considered as intelligent as a human. Cognitive Science- The science of how humans think and learn.

6. Types of tasks Computational –Can be solved with existing algorithms Recognition –Sensory recognition, motor tasks –Gathering information about surroundings Reasoning –Making the best decisions based on the information

7. AI vs Humans

8. Resources Wikipedia Google Image Search Shoman, Yoav. "Computer Science and Game Theory." www.acm.org. Association for Computing Machienery. 04 Feb. 2009. Schneider, Micheal G., and Judith L. Gersting. Invitation to Computer Science: Java Version. 3rd ed. Boston: Course Technology, 2006.