by lauren argenio russell braun n.
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AI and Games - PowerPoint PPT Presentation

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AI and Games
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  1. by Lauren Argenio Russell Braun AI and Games

  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 <http://www.acm.org/>. • Schneider, Micheal G., and Judith L. Gersting. Invitation to Computer Science: Java Version. 3rd ed. Boston: Course Technology, 2006.